Public revenue case library
Revenue signals from founders building in public on X
Browse curated posts with revenue numbers, cost clues, channel notes, credibility labels, and original-source records. Use it to compare what revenue screenshots do and do not prove.
Signals
50
High-trust originals
38
Updated
2026-07-06
Revenue signal table
50 signals, 38 high-trust original records, source updated 2026-07-06
| Entry | Revenue / cost / profit | Product / channel | Credibility | Summary | Actions |
|---|---|---|---|---|---|
8 months SaaS crossed $11,180 revenue and $2,789 MRR @anupamrjp / 2026-07-05 01:55 UTC 2026-07-06 新增（最近 24-48 小时） | 8 个月 SaaS 累计 gross volume $11,180.24；作者称当前 $2,789 MRR；无广告预算，成本/利润未披露 | 未披露名称的 SaaS 作者称所有客户来自 organic growth，靠持续构建、shipping 和听用户反馈；无 paid ads | 中高：作者本人披露，搜索结果含完整正文，媒体图可读到 gross volume $11,180.24；但本轮 `twitter tweet` 详情读取失败，产品名、订阅数、成本和利润缺失 | 这是一个典型的早期 organic SaaS 样本：8 个月才累积到 11K gross volume 和 2.8K MRR，不是爆发式短视频或广告买量，而是慢慢靠产品迭代和自然增长堆出来。研究价值在于提醒不要只追“几周到万刀”的异常案例，organic 路线可能更慢，但现金压力较低。 | |
| RevenueCat 截图显示 MRR 1,013 US$、last 28 days revenue 781 US$、62 active subscriptions、1,590 new customers；作者称从 3 月开始构建，刚达到 $1,000 MRR；成本/利润未披露 | 未披露名称的 first app 无 audience、无 funding、无 team；主要 organic traffic；发帖前一天刚开始 Apple Search Ads | 高：作者本人披露并带 RevenueCat 截图，时间线和渠道清楚；但详情接口读取失败，缺少产品名、定价、广告花费和平台抽成后净利润 | 这是“先 organic 到 $1K MRR，再小规模测试 Apple Search Ads”的移动 app 样本。和已有 Apple Search Ads 起量案例不同，Max Franzen 先证明有自然需求，再开始付费渠道；后续值得跟踪 ASA 是否能在不破坏现金效率的情况下放大。 | ||
Sports app seasonal MRR / affiliate revenue note @alfiearnaud_ / 2026-07-05 20:52 UTC 2026-07-06 新增（最近 24-48 小时） | 截图显示 2025 NFL season 期间 MRR 从约 $25K 峰值接近 $100K 后回落；作者回复称当前约 $25K-$30K MRR；in-house subscriptions 是最小收入驱动，affiliate 更大；成本/利润未披露 | 未披露名称的 sports / sports betting app NFL 内容策略，affiliate monetization，大概率强季节性；作者称 app 目前体验一般，计划重建 | 中：作者本人披露并带 RevenueCat 图，且回复补充当前 MRR 和 affiliate 口径；但不是完整长文，产品名、成本、净利润、具体获客渠道和合规风险未披露 | 这条的价值在收入结构和季节性，而不是单个 MRR 数字。sports betting app 的订阅收入可能只是表层，affiliate 才是主要变现；同时 MRR 随 NFL season 大幅波动，不能按普通 SaaS 线性外推。 | |
| Pushscroll 累计收入 $1,000,000，作者称当前 $100K+ MRR，并提供 RevenueCat verified 链接；失败产品 SpeedBump 花约 5 个月、收入 $0；可见成本线索只有早期买 Ahrefs 32 欧元，完整广告/创作者成本未披露 | Pushscroll，做俯卧撑才能继续刷手机的 B2C app；失败产品 SpeedBump 是减少 doomscrolling 的 app TikTok/Reels/Instagram 原生内容；上线前用 fake demo 验证，约 80K views、500 条评论请求构建；之后硬付费墙、单一受众、真实内容，而非 Product Hunt、X build in public 或慢反馈 ASO/SEO | 高：作者本人 X Article，披露失败时间线、产品名、收入规模、验证链接、渠道变化和联合创始人；缺少完整成本表、净利润和平台 payout | 这是本轮最强的 B2C app 失败复盘。它的价值不只是 $1M revenue，而是把同一创始人从 5 个月 $0 的 SpeedBump 到 $100K+ MRR 的 Pushscroll 的差异讲清楚：不是产品复杂度，而是先验证分发、去用户所在平台、用硬 paywall 让收入反哺分发。适合和 iOS app 广告买量案例对照：Pushscroll 更像短视频需求验证 + 社交原生内容驱动。 | ||
$0 to $1,000 MRR iOS consumer app checklist @jpwahle / 2026-07-03 12:14 UTC 2026-07-05 新增（最近 24-48 小时） | 标题披露 iOS consumer app 从 $0 到 $1,000 MRR；定价建议 $9.99/week、$49.99/year、可测试 $79.99/year + 7-day trial、lifetime 约 3x annual；未披露产品名、成本、截图或当前净利润 | 未披露名称的 consumer iOS app Swift/iPhone only；RevenueCat paywall 和 A/B tests；PostHog funnel；Apple Search Ads、TikTok/Instagram/Reddit；本地化 EN/DE/ES/FR/IT/PT/RU/TR/AR/HI/ID/ZH/JA/KO；App Store screenshot factory | 中：X Article 很长且战术细，但作者明确说压缩了多位创作者的做法，自己的产品、截图、成本和时间线不足；适合作方法清单，不适合作高可信财务样本 | 这篇更像“移动订阅 app 从 0 到 1K MRR 的 checklist”，不是完整财报。可用价值在于把当前 X 上多位 app builder 的共识串起来：先把 onboarding/paywall 当收入产品，截图和本地化工程化，早期靠硬 paywall/RevenueCat/PostHog 快速试定价，再用 Apple Search Ads 和短视频渠道放大。 | |
| Maxed AI 达到 $1,000 MRR；此前目标为 100 downloads、$100 revenue；回复和截图上下文显示约 166 active subscriptions、约 7K monthly users；作者回复称早期经历 free、free trial、价格过高等阶段，最近才调顺 pricing/paywall；当前不提供 trial；成本/利润未披露 | Maxed AI，lifting / gym fitness app founder-led X build in public；与 fitness creator @alexaaronlab 做 gym crew / leaderboard 社群；作者称最初是面向 club sports teams 的 workout app，给 Iowa State women's rugby team pitch 后发现不可扩展并 pivot | 中高：作者本人披露并带 RevenueCat 截图，产品名和早期 pivot 清楚；但主帖不是长文，渠道/成本/留存主要来自回复和 user-posts，仍缺完整 P&L | Maxed AI 是更早期的健身 app 样本。真正有用的不是 $1K MRR 本身，而是它暴露了消费 app 的定价迭代：免费、试用、错误价格都会造成低 ARPU/高 churn，作者最近才改成无 trial 并优化 paywall。它适合继续跟踪 creator/community 渠道能否把 7K MAU 转成更高付费率。 | ||
| 未披露名称的 iOS app 34 天到 $1.5K MRR；此前 25-30 天约 $1K MRR；定价 $49.99/year、$14.99/month、$7.99/week（正文和回复对 $7.99 周/月口径有一处不一致，后续回复列为 weekly）；Apple 抽成 15%；TikTok ads 第一轮 CPA $29、第二轮 $16，当前 $50/day 找 winner；早期 Apple Search Ads 阶段已披露花 $584、收入 $964、扣税/退款后利润 $235 | 未公开名称的 iOS habit tracker / B2C app Apple Search Ads 竞品关键词起量；RevenueCat data exports + Apple ad spend 交给 Claude 做建议；PostHog 优化 12-13 步 onboarding；GPT-Image-2/Figma 做商店图；$1K MRR 后开始 TikTok ads；iOS only, SwiftUI + RevenueCat | 高：作者本人长帖披露，带 RevenueCat 截图，有前序 $1K MRR、利润/ROAS、定价和渠道记录可交叉验证；仍缺产品名和完整 P&L | 这是此前 habit tracker 案例的关键升级：不是只说“到 $1K MRR”，而是把 34 天到 $1.5K MRR 的做法拆成广告、定价、onboarding、数据分析和后续 TikTok 买量。最值得注意的是早期利润并不厚：平台费、退款和广告之后，增长速度快但现金效率需要持续看 LTV/留存。 | ||
B2C startup made $7,680 in last 30 days @arthuryuzbashew / 2026-07-03 07:53 UTC 2026-07-04 新增（最近 24-48 小时） | B2C startup 最近 30 天收入 $7,680；作者称产品 2025-09 创立，8 个月后真正起飞，回复中纠正为从启动到现在约 15 个月；同日另帖称 MediaFast 上线 3 个月时收入 $1,229，如今约 $7K/month，累计收入超过 $55K；成本/利润未披露 | B2C startup（疑似 Pix，作者未在该帖明说）；MediaFast 作为关联产品 SEO + GEO organic；此前披露 B2C startup DR 3 下每天 400-500 organic visits，MediaFast 来自 Reddit/GEO marketing | 高：作者本人披露，带多张截图，且与 6 月 portfolio income $15,619、Pix $8,088、MediaFast $6,982 记录互相印证；缺少成本、利润和产品名完全确认 | Arthur 的新增价值在时间线：B2C 产品不是上线即爆，而是 8 个月后才真正起量；渠道不是社媒短爆，而是 SEO + GEO 的 organic 复利。它适合和“一周做出爆款 app”的叙事对照：持续做同一方向、等搜索和 AI search 资产积累，才把产品推到 7-8K/月。 | |
Redditgrow reached $2K total revenue in 3 months @victor_bigfield / 2026-07-03 07:02 UTC 2026-07-04 新增（最近 24-48 小时） | Redditgrow 3 个月累计收入 $2,000；此前 6 月收入 $733、5 月 $647；作者另帖称暂停发帖/外联 2 周后 MRR 仍上涨，churn 下降 39%；成本/利润未披露 | Redditgrow.ai，Reddit 增长/营销工具 Reddit 早期获客，随后 SEO/Google 开始带来留存更好的客户；作者明确对比“post on Twitter and hope”，认为早期用户应去已有搜索意图的地方 | 中高：作者本人披露，有连续收入、时间线、churn 和渠道更新；收入小且缺截图/P&L，但作为早期 SEO 留存样本有研究价值 | Redditgrow 是小额但清晰的“渠道质量”案例。3 个月 $2K 不大，但作者观察到两周不做 marketing 时 MRR 仍上升、churn 下降，说明 Google/SEO 用户可能比 X 曝光用户更有留存。适合继续跟踪它能否从 founder-led marketing 转成搜索驱动的稳定 MRR。 | |
| Directify 6 月 P&L：MRR $2,418.30，revenue $2,832.21，profit $2,580.17，profit margin 91.1%；Stripe fees $141.53，hosting $92.67，tools $17，CDN $0.84；较 5 月 MRR +3.7%，利润率从 86.9% 到 91.1%；同日月报总收入 $32,942，其中 Directify $2,832、domain sale $29,888 | Directify；另有 ConvertHub、Directories、RapidForm 和域名交易收入 作者回复称当前主要获客渠道是 SEO；Directify affiliate program 已开始带来 sales；6 月通过砍工具和降低 Stripe fees 提升利润率 | 高：作者本人披露，带 P&L 截图、成本科目、上月对比和渠道回复；仍缺少 Stripe/银行截图 | Directify 是本轮最完整的“小 SaaS P&L”样本。总月收入被一次性域名 sale 拉到 $32.9K，但可复用的经营资产是 Directify 的 $2.4K MRR 与 91.1% 利润率：慢增长、低成本、SEO 获客、订阅工具瘦身，比单纯晒 gross revenue 更适合研究独立 SaaS 的真实现金结构。 | ||
Interior design app hit $2.8K MRR in 5 weeks @SebasEstra / 2026-06-30 17:46 UTC 2026-07-03 新增（最近 24-48 小时） | 室内设计 app 5 周到 $2.3K MRR，发帖时已到 $2.8K MRR；6 月收入 $2,524，次要 contractor app $52；7 月 1 日截图显示 MRR $2,932、102 active subscriptions；下载约 1,250，conversion 8.8%，约每 12 次下载产生 1 个订阅；定价 $9.99/week、$19.99/month，英区/欧区不本地化价格；确认收入约 $1.7K；成本/利润未披露 | 未披露名称的 interior design app；另有 contractor app 只做一个 TikTok 账号，每天 2 条 carousel；无广告、无 free trial，只有 1 次免费生成；作者称 viral feature + TikTok 与增长峰值相关，避免泛 AI UGC，深耕高端室内设计受众、材料/风格术语和用户已有习惯 | 高：作者本人长帖披露，带 RevenueCat 截图、时间线、订阅数、转化率、定价、渠道和回复补充；缺少成本、利润和 App Store 链接 | 这是“少下载、高转化”的移动订阅 app 样本。作者没有追求泛流量，而是用 TikTok carousel 对准室内设计爱好者的既有浏览/收藏习惯，结果不到 100 万 lifetime views、1,250 downloads 也能做到接近 $3K MRR。适合和 TikTok ads 买量型 app 对比：这里的关键变量是垂直内容质量、paywall/onboarding 和高周订阅定价。 | |
| 2026 年 6 月总收入 $83,701：TrustMRR $30K、DataFast $21K、Ship or Die $15K、CodeFast $9K、X $4K、ShipFast $3K、其他小产品合计约 $1,701；作者称 margins 约 85%；回复补充税约 17%，个人开支不旅行时 $3K-$5K/月 | 多产品组合：TrustMRR、DataFast、Ship or Die、CodeFast、ShipFast 等 X build in public 分发；DataFast 新增 bot traffic tracker；TrustMRR marketplace 收 3% finder fee，作者回复称 ShipFast/CodeFast 已低于峰值，TrustMRR 和 Indie Page 更稳定 | 高：作者本人披露，互动高，且回复里补充 margin、税、个人支出口径；缺少 Stripe/银行截图，产品间成本未拆开 | 这是“多小产品组合”收入结构样本：不是单个 SaaS 的线性增长，而是新产品、老产品衰退、市场型产品和内容收入叠加。最有价值的是作者主动给出 85% margin、17% 税和不取工资的现金处理方式，可以用于区分 gross income、税后现金和公司留存。 | ||
Postiz June 2026 revenue / 143K Stripe MRR @wickedguro / 2026-06-30 12:17 UTC 2026-07-02 新增（最近 24-48 小时） | 2026 年 6 月总收入 $138,824：Postiz $136,244、agent-media $2,580；Stripe MRR 显示 $143,000；2026-06-29 另帖称 Postiz passed $140K MRR；近帖曾披露 Google Ads 单日花 $94 获得 64.5 trials，CPT $1.47 | Postiz，开源 social media scheduler；agent-media 开源分发、X build in public、Google Ads；作者称 Google Ads 已成为最 profitable channel，并持续投业务和赞助 hacker residency | 高：作者本人披露，连续 MRR 截图/里程碑和广告成本线索可交叉验证；缺少完整成本表和净利润 | Postiz 已从“开源项目增长”进入高 MRR 商业化阶段。关键不是 138K 单月数字，而是作者同时暴露了 MRR 口径、广告 trial 成本和再投资倾向：高收入不等于全部可提现，部分现金继续投入业务和品牌分发。 | |
Terekhin Ivan app portfolio June revenue @TerekhinIvan / 2026-07-01 02:07 UTC 2026-07-02 新增（最近 24-48 小时） | App portfolio 2026 年 6 月收入 $4,722，5 月 $4,330，环比 +9%；10+ apps live；Sober Tracker 约占 69% 收入，Sober Tracker MRR $781，active paying subs 337；Supplements Tracker 约 $600，Anxiety Pulse 约 $355；广告花费约 $0；利润未披露 | Sober Tracker 及 10+ 移动 app 组合 纯 organic；作者继续测试 iOS 降价、Android 涨价；前文提到 App Store/Google Play/search 流量与 ASO，比 ASA/Google Ads/社媒更有效 | 高：作者本人披露，带截图，收入、产品占比、MRR、订阅数、定价实验和广告成本清楚；缺少平台抽成后净利润 | 这是移动 app portfolio 从单一爆款向多 app 组合分散的好样本。6 月增速不高，但质量更高：Sober Tracker 占比从 75% 降到 69%，小 app 开始贡献收入，且 $0 ad spend 说明增长来自商店/搜索自然流量和定价/paywall 实验。 | |
Arthur June 2026 MediaFast/Pix income @arthuryuzbashew / 2026-06-30 19:19 UTC 2026-07-02 新增（最近 24-48 小时） | 2026 年 6 月总收入 $15,619：MediaFast $6,982（+113%）、Pix $8,088（+23%）、LiFast $96、iOS App $44、X $409；另帖称创业累计带来 $54,000，MediaFast 2025-04 首次 $1K/月，2026-06 到 $7K/月，B2C startup 到 $8K/月；成本/利润未披露 | MediaFast，Reddit/GEO marketing 产品；Pix，B2C 产品；LiFast/iOS app Reddit marketing、GEO/AI search、Google organic traffic；作者称 B2C startup 在 DR 3 下每天 400-500 organic visits，MediaFast GEO pivot 后翻倍 | 高：作者本人连续披露月收入、历史时间线和渠道，互动数据中等；缺少成本、利润和收款截图 | Arthur 的价值在“服务/营销能力产品化 + B2C side bet”组合：MediaFast 从 Reddit 痛点出发，后续转向 GEO/AI search；Pix 同月超过 MediaFast。它说明单个创作者的现金流可以来自服务型 SaaS、B2C 小产品和 X creator payout 的混合，而不是只押一个 MRR 曲线。 | |
| 2026 年 6 月副业收入 $6,060：Screen Charm $5.8K、X $260；作者另帖披露 Stripe payout 卡在 Revolut/Stripe 之间；成本/利润未披露 | Screen Charm，视频/屏幕录制相关工具 Reddit 带来显著流量；作者称 Reddit 结果创个人最好表现，后续还优化导出速度，认为 2x faster export 可能提升用户录制量 | 中高：作者本人披露并带截图，且有 Stripe payout 和 Reddit 流量上下文；但缺少完整时间线、成本和净利润 | 这是“仍保留 9-5 的副业 SaaS”样本。Screen Charm 单月 5.8K 已足够有意义，最有研究价值的是作者把 Reddit 流量、产品性能改进和支付实际摩擦放在同一时间窗口，提醒收入截图之外还会遇到 payout/银行链路问题。 | ||
Redditgrow June 2026 small revenue update @victor_bigfield / 2026-07-01 09:17 UTC 2026-07-02 新增（最近 24-48 小时） | 2026 年 6 月收入 $733：Redditgrow $620、X $123；5 月为 $647，环比约 +13%；另帖 day 91 称 churn -39%、MRR -4.8%、SEO 开始带来更能留存的客户；成本/利润未披露 | Redditgrow，Reddit 增长/营销工具；另有 visualhackademy SEO 开始起量；作者称已数周未做 marketing，开始观察自然流量和留存 | 中：作者本人披露，收入小但有 5 月对比、day 91、churn 和 SEO 线索；缺少截图、成本和更长时间线 | 这是低收入早期产品的留存样本，比单纯“$733/月”更重要的是 churn 下降和 SEO 用户质量变化。适合继续跟踪：如果 SEO 能持续带来留存更好的客户，Redditgrow 可能从手工营销/社媒转向更稳定的搜索获客。 | |
AI Peekaboo from $20K to $26,671 MRR after X post @hello_code_ / 2026-06-30 14:34 UTC 2026-07-01 新增（最近 24-48 小时） | MRR 从前一日超过 $20K 更新到 $26,671；作者称 20K MRR 帖获得 18K views，并从 X 关闭一个 enterprise client；成本/利润未披露 | AI Peekaboo，AI Search/LLM visibility SaaS，网站为 AIPeekaboo.com X build in public 直接带来企业客户；上下文补充产品帮助公司追踪 ChatGPT、Gemini、Perplexity、Google AI 中的可见度、竞品和引用来源 | 高：作者本人连续披露，附收入截图，有上一条 20K MRR 记录可交叉验证；但仍缺少成本、合同金额和回款截图 | 这是 AI Search/GEO SaaS 在 20K MRR 后靠公开收入帖继续拿企业客户的样本。最有价值的是“收入公开帖本身成为销售资产”：18K views 不大，但足以触发企业客户转化，把 MRR 推到 26,671 美元。 | |
| 2026 年 6 月总收入 $20,496.08：SuperX $18,481.82、X $1,896.24、YouTube $118.02；2025 年 6 月为 $800；扣费用和 co-founder split 后 take-home 约 $6K | SuperX，面向 X 增长的 SaaS；另有 X creator payout 和 YouTube X 内容分发 + SuperX 自身产品；作者回复称 SuperX 对部分用户也可被 X creator payout 覆盖订阅费 | 高：作者本人披露月收入拆分，并给出 take-home 口径；缺少 Stripe/银行截图和具体费用科目 | 这条比此前 $22K/mo 里程碑更有财务价值，因为它第一次把收入来源和到手收入放在同一条里。名义收入约 20.5K，但费用和合伙人分成后作者到手约 6K，说明内容/工具型独立 SaaS 也需要区分 gross revenue、公司收入和个人可支配现金。 | ||
| 文章称案例主人公“赫兹”AI 网站出海 10 个月累计破 $10,000；前 5-6 个月几乎无收入，第 6 个月突破 $1,000，后 4 个月持续增长；推特账号另带来接近 2 万人民币商单收入；投流为每天几十元，另把商单收入用于付费外链；利润未披露 | 未披露具体站点名的 AI 海外工具站/独立站组合 Google Trends、Similarweb、AITDK、Semrush、Reddit/Twitter 痛点、Fiverr/Upwork 服务需求、SEO、付费外链、小额投流、Clarity 录屏优化、Stripe/HK 银行卡收款 | 中：长文给出清晰时间线、渠道、收款和投入口径，但作者是在拆解“赫兹”案例，不是收入当事人直接披露；缺少站点链接、收款截图和成本利润表 | 这条适合作为中文 AI 独立站出海的“心路历程 + SOP”样本，而不是财务铁证。最有价值的信息是前半年几乎零收入、第 6 个月才过 $1K、通过 Clarity 录屏修体验、买外链和小额投流加速验证。它提醒“AI 建站”不是等 SEO 自然来，而是需要主动找词、上站、付费买时间、围绕一个站深耕转化。 | ||
I failed 5 times before my 6th hit $22K/mo @robj3d3 / 2026-06-28 18:27 UTC Added 2026-06-29 (last 24-48 hours) | SuperX reached $22K/mo. The author listed five failed projects in replies: Indiedex, Pentest List, TechServia, CoachMiro, and Brandcast. A Liftoff agency also reached $38K. Costs and profit were not disclosed. | SuperX, a SaaS product for X growth. Customer acquisition on X. The validation framework was to copy a proven idea, make one key part 10x better, sell a service first, then build the product. A 22-minute talk is linked. | Medium-high: first-party disclosure with a clear product name and failed-project list, plus follow-up replies. No Stripe or RevenueCat screenshot, cost, or profit data. | The useful signal is not only the $22K/mo number, but the failed-project history and validation path. The author argues AI makes building easier, while knowing what to build remains the hard part. This fits a service-first path into SaaS. | |
YearPix still makes money every month @jackfriks / 2026-06-28 13:37 UTC Added 2026-06-29 (last 24-48 hours) | The YearPix screenshot shows 8,249 all-time visitors, $385 revenue, 0.28% conversion, and $0.05 revenue per visitor. The author also said he made $40,000 last month, but costs and profit for YearPix were not disclosed. | YearPix, a small photo/memory app originally built for the author's fiancee. Mostly X-driven traffic spikes. The author said it still earns monthly after more than a year; commenters suggested turning it into a B2C mobile app or using a rev-share marketer. | Medium-high: first-party post with a readable dashboard screenshot. Revenue is small, the post is short, and there is no cost or repeatable acquisition breakdown. | This is a tiny side-project tail-revenue case. YearPix is not the main business, but it shows that a lightweight product built for a real personal need can keep producing small revenue without active maintenance. It is more useful for a side-project portfolio study than as a core SaaS growth case. | |
One-person website earns $135/month in passive Google ad revenue @mybitstar / 2026-06-28 08:58 UTC Added 2026-06-29 (last 24-48 hours) | Google paid out $135. The dashboard showed $144, with about $9 lost to intermediary or wire fees. Server cost is $50/year, domain $7/year, SSL free, or about $57/year total. The author says the common range for this model is $100-$500/month. | Unnamed tool or content site monetized with Google AdSense. Google SEO plus utility-site demand. Suggested examples include Xiaohongshu video downloaders, PDF-to-Word tools, image compressors, and video watermark removers. After AdSense approval, maintenance is described as about one hour per week. | Medium-low: the X Article provides revenue, cost, and workflow detail, but mixes first-hand and teaching-style examples. It lacks a site link, AdSense screenshot, and clear timeline. | This is a low-revenue but clear cost-structure site case. The useful parts are the $57/year infrastructure baseline, AdSense verification and payout flow, and the claim that utility sites can be better passive search assets than blogs. Credibility is lower than first-party posts with screenshots and URLs. | |
The Lovable System Behind My $20K MRR Agency @PrajwalTomar_ / 2026-06-27 11:01 UTC Added 2026-06-28 (last 24-48 hours) | The agency is at $20K MRR. Customer MVPs usually sell for $6K-$8K; comparable custom builds used to cost around $30K and take two months. Lovable Pro is $25/month, while multi-connector products can add about $80-$200/month in third-party costs after launch. Profit was not disclosed. | Ignyt Labs, an agency using Lovable to deliver AI and MVP software. X Article plus a free community. The stack includes Lovable, Supabase/Lovable Cloud, Stripe, Twilio, Granola, ElevenLabs, Google Workspace, GitHub, and Cursor. The author emphasizes capability-first delivery: wire the connectors before polishing UI. | High: first-party long-form disclosure with MRR, pricing, delivery time, toolchain, cost ranges, and process detail. No Stripe or bank screenshot and no profit margin. | This is a service-agency case, not pure SaaS. Lovable and connectors compress MVP delivery from six weeks or more to roughly 5-7 days. The strongest signal is the cost caveat: connector-heavy projects burn Lovable credits, and live users create Twilio, ElevenLabs, Google, and other third-party costs, so $20K MRR is not profit. | |
Habit tracker app hit $1k MRR in 25-30 days @_frederickjames / 2026-06-26 15:35 UTC Added 2026-06-27 (last 24-48 hours) | The habit tracker reached $1K MRR in 25 days. Follow-up data showed 1.37x ROAS and $239.62 profit after 25 days. In the Apple Ads phase, $584 ad spend produced $964 revenue and $235 profit after Apple fees and refunds. Ongoing profit was described as 30-35%. | An unnamed iOS habit tracker. Apple Search Ads using competitor keywords and country tiers at $20-$70/day, later TikTok ads. The stack included a RevenueCat hard paywall and A/B tests, PostHog funnel analysis, GPT-Image-2 screenshots, and SwiftUI. | High: first-party serial disclosure with a 30-day timeline, cost, profit, ROAS, pricing, and toolchain. The product name is not disclosed, but the category is clear. | This is the most complete mobile subscription plus Apple Search Ads sample in the set. The value is not the $1K MRR headline; it is the full path through ad testing, competitor-keyword interception, a 12-15 step onboarding flow, hard paywall, refunds, Apple fees, and post-fee profit. | |
Mobile apps: $1k to $10k MRR in 30 days with TikTok ads @athcanft / 2026-06-25 19:14 UTC Added 2026-06-27 (last 24-48 hours) | Mobile apps grew from $1K MRR to $10K MRR in 30 days. The author raised $20K from friends and family to scale ads, spent $6K on TikTok ads, and replied that $10K revenue produced about $3K net profit. Another post claimed $72K all-time revenue, about $40K ad spend, and $21,664 profit after Apple's 15% cut. | Unnamed mobile app or fitness app portfolio; the author also promotes JarvX. TikTok ads. The playbook was to find profitable ads at $50/day, then use validated ROAS to raise money and scale. Related posts recommend viral features, no login, hard paywalls, MMP attribution, and scaling winning ads to $200-$300/day. | Medium-high: first-party disclosure with clear revenue and ad cost numbers plus a profit reply. The main product name is opaque, so screenshots and app-store links need follow-up. | This shows a paid-growth path: prove small-budget ads work, then finance user acquisition. It is more useful than a plain MRR screenshot because it shows $10K revenue mapping to about $3K profit, and $72K revenue requiring about $40K ad spend. | |
RankGoat reached $200 MRR in first week @woocassh / 2026-06-26 19:41 UTC Added 2026-06-27 (last 24-48 hours) | The new app reached $200 MRR in about one week, after updates from $24 to $48, $72, $96, and then $200 MRR. Costs and profit were not disclosed. | RankGoat, an app that helps websites improve Google and AI Search rankings. Product Hunt launch and build-in-public on X. The author mentioned backlink exchange, internal links, Google indexing, and AI Search/GEO demand. | Medium-high: first-party serial disclosure with screenshots. Revenue is small and costs are missing, but the timeline is clear. | RankGoat is a small early signal for AI Search and GEO tooling. It went from first sales to $200 MRR in a week, with positioning that shifts from classic SEO to Google plus AI Search visibility. It is worth watching to see if the category expands beyond indie-builder buyers. | |
| The screenshot shows $21,121.63 MRR. The recent period had $16,291.36 gross volume and $15,769.91 net sales. Costs and profit were not disclosed. | AI Peekaboo. The author says an affiliate program and LinkedIn outreach materially pushed growth. A reply says the team has worked on it for more than a year while building with customers. | High: first-party disclosure with a revenue dashboard screenshot and channel notes, but no cost data. | AI Peekaboo is one of the strongest new samples in the set. It shows a step up in MRR, and the growth channel is not vague content posting but affiliate plus LinkedIn outreach. It is useful for studying when a B2B/AI tool moves from founder-led sales into partner distribution. | ||
| MRR reached EUR2,000 less than two months after launch. The screenshot shows EUR8,855 total revenue, EUR7,778 revenue in the last 28 days, 552 active subscriptions, and 86 active trials. Costs and profit were not disclosed. | PokéItem, a real-time portfolio valuation app for Pokemon TCG collectors. App Store and Play Store. The author is building in public and recently ran an annual-subscription giveaway; the day before, he disclosed EUR1,900 MRR. | High: first-party post with a RevenueCat screenshot and serial updates. Costs are missing. | PokéItem is a fast mobile-subscription sample in a vertical hobby community. It turns Pokemon card collecting into a portfolio/investing narrative and reached more than 500 subscriptions in roughly 50 days. It is worth studying for niche communities, mobile subscriptions, and giveaway-driven early growth. | ||
English With Lewis crossed $1,200 MRR @ericdjav / 2026-06-24 15:19 UTC Added 2026-06-26 (last 24-48 hours) | The latest screenshot shows $1,215 MRR, $1,346 revenue in the last 28 days, 97 active subscriptions, and 4,519 active customers. A recent post says tool costs are about $122/month; profit was not directly disclosed. | English With Lewis, an English-learning app. Zero ads. The developer works on a revenue split with a British English teacher who has 1.5M followers; the creator brings distribution and the developer builds the product. The app launched on App Store and Play Store in 30 days. | High: first-party disclosure with screenshots, serial revenue posts, costs, and channel breakdown. | This is a clear developer-plus-vertical-creator revenue-share case. The developer did not cold-start an audience; he productized a creator's content and voice into a learning app. The cost structure is light, while creator distribution and subscription conversion are the core variables. | |
| A small MCP/Claude connector product passed $7K MRR; a 2026-06-22 post said $7.3K MRR. Costs and profit were not disclosed. | Unnamed MCP/Claude connector, evolved from funnel and process templates. The path started with Google Docs templates, moved to custom GPTs and Claude skills, and then became a JavaScript web app. Threads/X cross-posting drove discussion, and the author cites ThriveCart as a publicly validated checkout. | Medium: first-party disclosure with serial posts, but no readable revenue screenshot or cost details. | The interesting signal is the path from service/templates to product: validate demand with documents and workflow templates, then package it as an AI connector. This belongs in the info-product-to-micro-SaaS/MCP case pool. | ||
SaaS hit $1,000 MRR, Reddit screenshot @hridoyreh / 2026-06-25 06:40 UTC Added 2026-06-26 (last 24-48 hours) | The screenshot claims a product reached $1K MRR in 3.5 months after several years of total revenue below $1,000. Costs and profit were not disclosed. | Unnamed; the screenshot appears to reference a r/micro_saas SweetMachina case. Initial acquisition from Reddit, a Discord community, and a focus on retention instead of only acquisition. The X author recently posts about SEO and backlink growth. | Medium-low: this looks like a reposted Reddit long-form screenshot, and it is unclear whether @hridoyreh is the original founder. | The content is useful, but should not be treated as the X author's own revenue. It is a lead for a Reddit-first acquisition and Discord retention case; the next step is to find the original Reddit post or product name. | |
| Laper reached $7,609 MRR and $10,031 revenue over the past four weeks. The post was published on 2026-06-23. | Laper. The author said in replies that promotion mainly came from posting on X/Twitter every day. Costs and profit were not directly disclosed in the X post; the full WeChat article reportedly includes more financial detail. | Historical entry: high-priority case. First-party disclosure with an income screenshot, but cost and channel mix need follow-up. | This is a rare Chinese indie/OPC AI product reaching the high four-figure MRR range six months after launch. It is useful for tracking the path from public building and product iteration to near-$10K monthly revenue. | ||
How I hit $1k MRR in less than 6 months without spending $0 on marketing @umairalidev High-priority cases | Weightify and seed identifier mobile apps reached $1K MRR in under six months. Older posts showed $2K MRR in April 2026. Android contributed about 80% of revenue and iOS about 20%. | Weightify, a seed identifier app, and the author's broader mobile app portfolio. The author moved from freelancing and part-time work into mobile apps. The first 3-4 apps failed; Weightify was built in one day, and the seed identifier shipped to iOS/Android in two days. He says there was no paid marketing and most metadata was AI-generated. | Historical entry: high-priority case. First-party disclosure with supporting historical revenue posts, but low engagement and no profit data. | This is a micro mobile-app case: fast shipping, app-store search, AI-generated metadata, and a portfolio of utility apps. It is useful for comparing Android and iOS monetization in small AI/utility apps. | |
| Sober Tracker and related apps officially reached $1K MRR. June revenue was estimated at about $4.3K. Recent posts said Sober Tracker had paying users in 64 countries and 400+ subscriptions. | Sober Tracker and the author's mobile app portfolio. The author said the effective channels were continuing to build apps and ASO. Apple Search Ads, Google Ads, and social media did not work. Other recent traffic sources included Bing, App Store, Google Play, and DuckDuckGo. | Historical entry: high-priority case. First-party milestone post and follow-up channel replies; no cost or profit data. | This is a high-credibility mobile app portfolio case where search and store discovery beat social or paid ads. It is useful for separating public attention from actual converting channels. | ||
| Supademo grew from zero to $1M ARR in 11 months, with 200,000+ users across 100+ countries. The author says there was zero outbound and zero paid ads, with one AE handling inbound. | Supademo. The first several thousand signups came from Reddit: the founder made free interactive demos for other SaaS websites and posted them in r/SaaS comments. Later, a free screenshot editor ranked for 'free online screenshot editor' and drove 50%+ of traffic with 11-12% visitor-to-signup conversion. LinkedIn posting added long-term brand familiarity. | Historical entry: high-priority case. First-party disclosure with several channel-detail posts; no cost or profit breakdown. | This is a strong B2B SaaS non-paid distribution case: manual Reddit service, free-tool SEO, low-friction trial, and long-running founder-led content instead of paid acquisition. | ||
| PostBridge and related apps reached $35K MRR after 4+ years. The author had almost quit. Products include PostBridge and Lovelee Couples App. | PostBridge, Lovelee Couples App, and a broader app portfolio. The author linked an Indie Hackers interview and shared takeaways. His free acquisition method is daily marketing content for apps, testing formats across Instagram, TikTok, and YouTube Shorts. He once made 300+ videos before finding a winning format, then used PostBridge to schedule across platforms. | Historical entry: high-priority case. First-party disclosure with interview support and historical marketing posts; costs and product-level revenue split are missing. | This is a long-cycle B2C app and creator-tool case. The value is the anti-overnight-success timeline: years of attempts, repeated short-video experiments, and sustained distribution practice behind the MRR number. | ||
| The AI SaaS project reached about $4,000 MRR. The first sale took 105 days, and the article reflects one year of overseas AI SaaS work. | An AI SaaS export project. The X Article organizes a year of posts about product selection, SEO, backlinks, payments, conversion, Reddit growth, paid ads, development, AI coding, and retrospectives. | Historical entry: high-priority case. First-party Chinese long-form post; useful as a method index rather than a single financial report. | This is a method library for taking an AI SaaS from zero to about $4K MRR, especially for new keyword sites, branded sites, SEO traffic, payments, and Reddit growth. | ||
| The author says revenue reached about $10K/month in March 2026 and has remained relatively stable since. | Independent websites, content sites, and utility-site workflows. The X Article organizes one year of daily notes about demand research, SEO, development, analytics, keyword discovery, traffic-source research, Stripe/PayPal, GA, and Microsoft Clarity. | Historical entry: high-priority case. First-party Chinese long-form content with continuous public notes; individual site-level proof still needs follow-up. | This is a useful SOP-style case for overseas content and utility sites: continuous site building, keyword research, SEO, payments, and behavior analytics rather than a single breakout product. | ||
| AutoShorts went from idea to $83.3K MRR in six months and reached $1M ARR on July 31. | AutoShorts. The public timeline: idea on Dec 20, first subscription on Feb 1, $1K MRR on Feb 28, $2K on Mar 16, $12K on Apr 19, $30K on May 5, and $75K on Jul 19. The author emphasized deep early user involvement, Facebook Ads testing, and scaling affiliates. | Historical entry: high-priority case. First-party milestone post with clear timeline; costs are covered in later posts. | A high-quality solo SaaS growth milestone. It is useful for studying early growth speed and the mix of user closeness, paid tests, and affiliate scale. | ||
| AutoShorts reached $90K MRR and disclosed cost structure. | AutoShorts. The long thread focuses on the cost side: marketing was the largest expense, followed by AI video-generation model costs. A commenter flagged a cost-totaling issue, and the author acknowledged the calculation problem. | Historical entry: high-priority case. First-party cost-side disclosure; arithmetic should be treated carefully. | This is more valuable than a pure MRR post because it exposes AI SaaS gross-margin pressure. Marketing and model costs can consume a large share of revenue. | ||
| AutoShorts made $138K revenue in May 2025, with $97K MRR, solo and bootstrapped. | AutoShorts. The author said he spends only 3-4 hours per day on support and features. Public revenue attracts competitors, but it also attracts affiliates and influencers, which became an important sales channel. | Historical entry: high-priority case. First-party monthly update with strategic channel notes. | This is useful for studying whether public revenue sharing is worth it: the risk is competition, while the upside is high-quality distribution partners. | ||
| Project X reached $3K MRR about one month after launch, $7.5K revenue over 30 days, and about $523 profit. | Project X. Costs were listed as Stripe fees, Facebook Ads, AI models, and miscellaneous expenses. The author planned to scale ads, work on SEO and organic growth, and reduce model costs. | Historical entry: high-priority case. First-party financial breakdown with clear cost categories. | A strong 'revenue is not profit' AI product case. It is useful for COGS, ad payback, and channel-structure analysis. | ||
| Project X made $10,362 monthly revenue, with $7,907.5 expenses and about $1,480 profit. | Project X. Expense details included Replicate, Facebook Ads, Stripe/refunds, server/CDN, Gemini, OpenAI, Fal, email, and ElevenLabs. The author said 90% of the product was built with Codex and Claude. | Historical entry: high-priority case. First-party detailed cost breakdown. | This is a practical vibe-coding business case: AI tools can help ship revenue-generating products, but cost control and codebase ownership remain key risks. | ||
| Project X reached about $16K/month, with $5.5K marketing, $6K GPU/AI models, $2K other costs, and roughly $2K profit, or about 12% margin. | Project X. The author joked that a course seller could only mention '$16K/mo', but the real business had low margins. A reply mentioned churn around 30%, partly driven by heavy Meta ads. | Historical entry: high-priority case. First-party post with margin warning. | One of the best counterexamples to revenue-title hype. It is useful for judging the commercial quality of AI video and generation products. | ||
| Outrank reached $200K MRR. | Outrank. A GEO/AI search visibility SaaS milestone. The author frames growth around the idea that web presence gets brands into LLMs, emphasizing web real estate, backlink marketplaces, and AI recommendation visibility. | Historical entry: high-priority case. First-party milestone with clear category, but limited cost and screenshot detail. | A useful signal for the revenue ceiling and narrative shift in GEO SaaS and AI search visibility tools. | ||
| Three SaaS products reportedly reached $900K MRR combined. The founder reportedly rejected a $20M acquisition, and Minea later reached $750K MRR. | Louc's SaaS portfolio, including Minea. The Chinese long-form post retells Louc's path: 11 failed products before the 12th worked, distribution before coding, equity for a French ecommerce YouTuber, high-ticket plans and 1:1 coaching to break a $120K MRR plateau, and AI agents for parts of CTO/CFO/CMO work. | Historical entry: Chinese/retold long-form case. Treat as a lead until the original quoted tweet or interview is verified. | This is useful as a lead for distribution-first SaaS and high-ticket growth, but it should not be treated as primary evidence without original-source follow-up. | ||
A solo founder sold one SaaS and grew another to $13K/month @igasparens Chinese and retold long-form threads | The first SaaS reached $6K MRR and sold for $250K. A second AI tool reached $13K/month. | Unnamed solo-founder SaaS and AI tool. The post describes a one-person company stack: Ahrefs keyword research, free tools for traffic, DataFast/PostHog/session recording for behavior analysis, Bento email, Featurebase feedback, Mintlify docs, and ChartMogul subscription analytics. | Historical entry: Chinese/retold long-form case. The tooling breakdown is useful, but the original founder and products need verification. | This is a narrative case lead for free-tool SEO and solo SaaS operations. Use it for workflow ideas, not as verified financial evidence yet. | |
| The author says X took a company from zero to $70K MRR, then back to zero. | Unnamed company. The X acquisition method: focus on one channel, catch early narratives, maintain 15-20 supporters in the niche, enter 20-50 relevant conversations after publishing, and track profile visits, DMs, calls, signups, and revenue. The rough funnel is 100K views to 1-5 customers, with strong posts adding $1K-$5K MRR. | Historical entry: Chinese/retold long-form case. Low engagement and limited evidence; useful as an acquisition hypothesis. | The value is the explicit X-channel funnel and distribution workflow. It needs follow-up before being used as a verified revenue case. | ||
My rollercoaster journey from $0 to $30k/mo, then back to $0 @vikingmute Chinese and retold long-form threads | Ziappo grew from $0 to $30K/month and then shut down. | Ziappo, a Twitter analytics and automation tool. The Chinese post retells an Indie Hackers article. Ziappo depended on Twitter, then Twitter API pricing moved to $42K/month and made the business unsustainable. | Historical entry: Chinese/retold long-form case. The original Indie Hackers article is linked and should be used as the primary source. | A failure case that is more important than many success stories. It belongs in any section on platform dependency and API risk. |