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
110
High-trust originals
105
Updated
2026-09-08
Revenue signal table
110 signals, 105 high-trust original records, source updated 2026-09-08
| Entry | Revenue / cost / profit | Product / channel | Credibility | Summary | Actions |
|---|---|---|---|---|---|
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. |
Showing 81-100 of 110 cases