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 |
|---|---|---|---|---|---|
How to Make a Highly Successful Mobile App ($0 to $3k in 45 days) @_frederickjames / 2026-07-12 11:38 UTC Added 2026-07-13 (last 24-48 hours) | The iOS app achieved just under $3K MRR in 45 days, and the actual monthly revenue was just under $4K/m; the reply on the same day added that the author did not realize that the actual revenue was close to $4K, and believed that the annual payment would make the actual revenue more important than MRR; the pre-order can be cross-verified. Day 43 is about $2.5K MRR, TikTok ads spent $895 in the last 5 days, earned $1,436, profit after deduction $324, ROAS 1.6x; pricing suggestions $49.99/year, $14.99/month, $7.99/week, discounted retention offer available $24.99/year; full refund rate and net profit after platform commission are not disclosed | A B2C iOS app with an undisclosed name; the previous record shows that it is a manifestation / habit-tracker similar to the consumption subscription direction App Store screenshots, reviews, ASO title/subtitle, 12-13 screen onboarding, PostHog funnel, RevenueCat paywalls, hard paywall, Apple Search Ads competitive product base, TikTok ads expansion, SwiftUI, event notification, exit offer before cancellation | High: The author himself | This is the upgrade of Frederick iOS app case from "daily update MRR" to a complete playbook: the focus has been expanded from single purchase ROAS to App Store page, onboarding, paywall, product commitment and retention before cancellation. The most worth tracking is the difference between MRR and actual cash revenue: annual payment brings actual revenue close to $4K/m, but this also requires subsequent verification of refunds, Apple commissions, and renewal retention. | |
PersonApp $1.7K MRR / Waykee $350 MRR paid-acquisition update @SanjanaBandara / 2026-07-12 13:48 UTC；同日 [Waykee update](https://x.com/SanjanaBandara/status/2076307993147424955) / 2026-07-12 14:09 UTC Added 2026-07-13 (last 24-48 hours) | PersonApp crossed $1.7K MRR after 2 months; coin subscriptions went from $4.99 to $6.99; Waykee went online for 30 days at $350 MRR; Waykee paid acquisition cost about $2.50 to generate $1 revenue, so the author paused advertising; the old timeline shows PersonApp’s early SEO budget under $3,000, and another 3-month update mentioned about $7K total spend and $700 light Monetization stage; undisclosed net profit in this round | PersonApp, random video chat/coin subscription product; Waykee, specific product details have not been expanded this round PersonApp's main channel is SEO, especially the search page of competing brands; the author said that the highest-performing SEO page was removed due to suspected false DMCA. This page once ranked second in Google, the largest competing brand, and was one of the main customer acquisition pages; Waykee suspended uneconomical advertising and turned to retention, products and repeatable growth engine | Medium to high: The author himself discloses the MRR, launch time, subscription price, SEO page loss and advertising loss caliber. The timeline can be intersected with the earlier PersonApp SEO long post; but this round is a short update, not a long post, and lacks revenue backend details, paid channel split, DMCA results and net profit | This set of updates is very suitable as an "early growth counterexample": PersonApp's core risk is not technology, but the SEO acquisition asset is interrupted by the platform/copyright process; Waykee's problem is that the paid launch has not run through, and continuing to buy at the $350 MRR stage will amplify losses. It reminds you not to just look at MRR, but to see whether the customer acquisition assets are sustainable and whether the advertising has unit economics. | |
Use AI to write websites to make money. The important thing is not AI programming. Many people are wrong from the beginning. @huangyun_122 / 2026-07-12 09:34 UTC Added 2026-07-13 (last 24-48 hours) | The article compiles the public cases of "Ge Fei": a game station has a stable daily advertising income of $300+; an Adsense station has been optimized from $874/month in 2016-06 to $2,100/month in 2016-11; the paid community has 900+ members in the past 6 months, and members have built hundreds of websites. The top site has monthly visits from one million to three million, and a few teams have earned $40K+ in a few months; Gumroad The case estimates that the appearance rating service sold 1,055 copies, with an average price of 10 euros and sales of approximately 10,550 euros; specific costs and profits were not disclosed. | Ge Fei’s website portfolio, game station, ChatGPT4o.ai, woy.ai, and the “Ge Fei’s Friends” website overseas community Google/SEO, Adsense, keyword derivatives, CPC/KD/search volume judgment, Gumroad paid page reverse push demand, Character.ai new demand page, AI native CMS, multi-language content, internal/external links, community collective website building experiment | Medium: Long-form | This is suitable for the Chinese "website overseas/AI tool station" research pool: the value is not in a new hot product, but in the combination of word selection, website building, SEO, Adsense/paid conversion and community samples into a set of methods. The credibility is lower than the author's own financial report, but it provides a complete narrative of Chinese developers building small site combinations and deducing products based on search needs. | |
Small apps portfolio from $0 to $1,180 MRR in 6 months @epragt / 2026-07-10 23:21 UTC Added 2026-07-12 (last 24-48 hours) | 2026-01-01 is $0 MRR; the first order about 1 month later, $50/year is approximately equal to $5 MRR; then $15 MRR; jumps to $750 MRR in March; $999 MRR in April; falls back to $950 MRR in May; $1,180 MRR in June; The author responded that there are about 20 small tool combinations, and the bottom 5-10 tools are planned to be fully automated, and the expected cost is about $100, profit about $1,000 | A small tool set whose specific name is not disclosed; the author said that a single small app usually takes 2-3 weeks to build, some of which make revenue, and some of which are $0 The idea came from asking ChatGPT for tool ideas in batches. Instead of betting on a single project, we built about 20 of them. Currently, it is more like portfolio exploration, and the customer acquisition channels are not clearly disclosed. The follow-up focus will be on automating the maintenance of low-income tools. | Medium: The author himself discloses the monthly MRR timeline, annual first payment, number of tools, and expected costs/profits; but the account does not provide a product list, backend screenshots, customer acquisition channels, actual cost details, and churn, so it is only used as a clue to the "multi-gadget combination" and does not establish a high-credibility original text record. | This is a low-key but valuable small sample: not a single SaaS explosion, but a combination of multiple tools to dilute product selection risks. March's jump came from "getting one of the tools right," and May's pullback illustrates that gadget mixes can also fluctuate. It is suitable to be put into the candidate pool of "batch widget/portfolio approach". In the follow-up, we need to track the product name, traffic source and real profit after automation. | |
GainFrame 4 months old / $944 MRR operating stack @GainFrameApp / 2026-07-10 11:59 UTC Added 2026-07-11 (last 24-48 hours) | GainFrame reached $944 MRR in 4 months, +45% in the past month, 203 subscriptions; AI coach is about $257/month, Gemini total cost is about $260/month, Apple $99/year, hosting/SEO tools $0, slides are about $0.04/slide; Paid ads cost $5,674 in 3 months: Apple Search Ads $2,498, TikTok $1,881, Reddit $1,295, about zero trackable conversions; the worst effective caliber is $114 CAC to $18 LTV, so buying volume will be stopped on May 10; current profits are not fully disclosed | GainFrame, iOS fitness/progress photo app, AI body fat/physioque progress insight TikTok carousel content factory, shopping intent SEO, Cloudflare Pages free calculators, App Store paywall A/B, RevenueCat webhook + Slack, PostHog/GA4/Search Console data readback; 141 posts + 11 free calculators; search from ~7 clicks/day to ~100 clicks/day after 90 days; trial-to-paid 5 weeks from 21% to 44% | High: The author himself | This article is a high-density sample of "AI-assisted solo app small organization". The best value isn't the $944 MRR, it's that the author turned engineering, QA, content, SEO, paywall, data, and customer service into a Claude/script workflow while explicitly acknowledging that the paid ad math doesn't work. It is suitable for studying the early business model of iOS app from failed purchase volume to compound organic. | |
WriteStack exact playbook from 0 to $1K MRR @Orelzman / 2026-07-09 14:43 UTC Added 2026-07-11 (last 24-48 hours) | The author said that the first 12 products of WriteStack failed, $0 in 600 days; WriteStack currently exceeds $11,000 MRR; the same timeline 2026-07-10 another post disclosed the last 30 days of $15.7K revenue, 7.6% converted visitors to paid, $4.9 revenue/visitor; charges started at 700 Substack subscribers; cost/profit not disclosed | WriteStack, scheduling / AI generation / analytics / notification workflow SaaS for Substack Notes Rely on direct DM to find potential users in the early stage, and continue private messages and interviews for at least 2 months; pivot from Article Generator to Substack Notes consistency tool; early user discount conversion; later use Substack/Notes scene content, competitive product SEO and creator workflow to continue to acquire customers | Medium to high: The author himself | This is a typical SaaS review of “DM and user interviews first, then reconstructing the positioning”. The core is not a 0 to 1K tactical list, but the author's change from "helping people write articles" to "helping Substack authors maintain Notes consistency", and changing the user's real obstacles from writing to distribution and execution. It is suitable to settle into the chapter "First Edition Demand Misalignment and Pivot Signal". | |
SalesRobot hit $1M ARR, now channels are flatlining @saguppa / 2026-07-09 18:30 UTC Added 2026-07-10 (last 24-48 hours) | SalesRobot achieved $1M ARR in 5 years; growth started flatline in the past 90 days; early outbound went from $0 to $300K ARR in the first year; related post on the same day revealed 150+ agency clients, agency accounts for 5% of customers but contributed 30% SaaS revenue; old post added a team of 30 people about $15K/month burn, profitable after $20K MRR; current net profit is not disclosed | SalesRobot，LinkedIn automation SaaS In the past, we mainly relied on SEO, LinkedIn content and outbound to capture existing demand; SEO has been impacted by the decline of AI Overviews and Google clicks, LinkedIn reach has declined, and outbound replies and conversions have weakened; Meta ads, Reddit/AI search and the second outreach AI SaaS are being considered; agency/white-label is a customer segment with higher ARPU and low churn | High: The author himself has continuously disclosed that the main post has a timeline, ARR, and channel decline diagnosis; the pricing/agency post on the same day and the previous team cost post can cross-verify the business structure; dashboard screenshots, complete P&L and churn numbers are missing. | This is a rare “Still stuck after reaching $1M ARR” review. The key is not the growth story, but the author admits that he is good at capturing existing demand, but does not form enough word of mouth; when SEO, LinkedIn, and outbound become weak at the same time, the lack of communication power of the underlying product is exposed. It is suitable to put it in the chapter "How to rebuild the foundation for growth after the decline of channel dividends". | |
GojiberryAI $3.5M ARR / 400+ demos in 5 months @romanbuildsaas / 2026-07-09 07:28 UTC Added 2026-07-10 (last 24-48 hours) | GojiberryAI reached $3.5M ARR; booked 400+ demos in 5 months; Meta ads are about $2K/day; B2B influencers are about $1,500-$3,000/week; another post on the same timeline stated that paid ads in the past 30 days brought 600 credit-card free trials, 240 paying customers, and the cost of UGC creator was about $20/reel; profit was not disclosed | GojiberryAI，B2B lead/outreach SaaS 4 core channels: LinkedIn/Reddit/X content, cold email + LinkedIn intent outreach, Meta ads + B2B influencers, SEO/GEO; content production itself is free but delivery and influencers are clearly paid; emphasis on fewer channels and high-intensity execution | Medium to high: The author himself discloses ARR, demo, channel and advertising/influencer costs, `twitter search` and `user-posts` are readable; but the main post has a product CTA and lacks background screenshots, number of contracts/customers, gross profit and churn; single paid-ads details `twitter tweet` read timeout, based on `user-posts` text supplement | This is a B2B SaaS “four-channel heavy pressure” sample: not relying solely on founder content, nor relying solely on outbound, but simultaneous pressure on content, cold start outreach, paid creative, and SEO/GEO. The value of the study is that it gives quantifiable intensity: 3K cold emails/day, $2K/day meta ads, 5 influencer posts per week. | |
ChatSEO reached $23K MRR after 6 months @NicholasDulait / 2026-07-09 09:55 UTC Added 2026-07-10 (last 24-48 hours) | ChatSEO reached 500+ clients and $23K MRR in 6 months; the author previously achieved Crumb's $1,500 MRR, peaked at $2,600 MRR, and finally sold $40K to repay investors; the new project had a first order of $29; another post on the same day showed $2K day; the complete cost/profit was not disclosed | ChatSEO_app, AI SEO chatbot; pre-failed/sold projects Crumb and Apphug The author combined the SEO, TikTok SEO, Reddit marketing and vibe coding that he learned in the previous round; the ChatSEO landing page went online in 2 days and got 400 sign-ups within a few days; he conducted 70+ user interviews and used core customer portraits to guide the product | High: The author has fully disclosed the 2022-2026 timeline, failed projects, sales amount, MRR and number of customers; there are screenshots of revenue on the same day, but lack of backend details, customer acquisition costs and net profit | This article is suitable for studying "channel capability migration of failed projects": Crumb did not let the author make any money, but forced him to learn organic marketing; the speed of ChatSEO comes from connecting SEO pain, fast landing page, early signups and user interviews. Don’t just look at $23K MRR, it’s more worth looking at the capability reuse from a $40K small exit to new SaaS. | |
| The app has grown to about $5K; churn >80%; profit margin <50%, and continues to decline after falling from about 40% to 30%; the author gives an example of a front-end revenue model of $100 ad spend for $140 revenue; maintenance and delivery will only be done when TT/Meta is still profitable | An undisclosed consumer app, leaning towards the front-heavy subscription / renewalmaxxing model TT/Meta paid acquisition; strong onboarding/initial conversion, but lacks 30/90/180-day retention; the author is ready to move to a business, health or religion app with stronger retention | Medium to high: The author’s own failure review clearly discloses revenue, churn, margin and advertising delivery logic; however, the account does not disclose the product name, and lacks RevenueCat/Stripe screenshots, delivery account data and complete timeline. | This is a counterexample to the recent narrative of high MRR for B2C apps: Front-end conversions and nifty ads can push an app to $5K, but if subscription cancellation rates are too high and profit margins decline as the customer base is depleted, MRR can quickly become distorted. It fits side by side with the Frederick/Appmaxxing case as a reminder of the need to chase LTV, chargebacks, retention, and marginal ROAS. | ||
iOS app hit $2K/m in 40 days @_frederickjames / 2026-07-08 11:27 UTC Added 2026-07-09 (last 24-48 hours) | It reached about $2K/month in 40 days; the reply on the same day revealed that TikTok ads took about 3 days, with a stage advertising cost of $512, revenue of $925, and about 2x ROAS; it is also said that $150 spend the previous day brought $400 revenue; Apple Search Ads as a small retainer, starting with $100 free credits, a healthy starting volume of about $30/day, and it has reached $1K MRR at about $50/day; annual payment is $49.99, monthly payment $14.99, weekly $7.99; profit still pending Apple payout and refund verification | A B2C iOS app with an undisclosed name. The previous record shows that it is a habit tracker / looksmaxxing similar consumption subscription direction. Apple Search Ads competing keywords and country stratification are verified first; RevenueCat + Apple Ads data is imported into Claude for optimization; PostHog funnel; Appsflyer MMP; after verification, use TikTok ads to find viral format and expand from $50/day to $100-$200/day | High: The author himself continuously discloses, the main post contains media, and the replies add ad spend, ROAS, RevenueCat, pricing and cash flow pressure; can be cross-verified with 2026-07-07 $1,865/m, 2026-07-02 $1.5K MRR records; missing product name, complete refund rate and net profit after platform commission | The Frederick case entered the "buying volume expansion" stage: from the slow intention traffic of Apple Search Ads to the fluctuating amplification of TikTok ads. The added value is not just $2K/m, but he admits that Apple ads are difficult to continue to eat the budget. TikTok had about 2x ROAS in the early days, but there was noise in time zone attribution and payout. Suitable for continuing to track the cash flow and ROAS decay of B2C iOS subscription apps in the $2K-$10K/m stage. | |
How I marketed my Screen-Time app to $1M @skyirezumi / 2026-07-07 16:01 UTC Added 2026-07-09 (last 24-48 hours) | Pushscroll’s iOS + Android proceeds exceeded $1M in 1 year; users have done a total of 28M push-ups; the target/experience scale is to expand from $0 budget to $100K MRR; the reply stated that it takes about 6 months from the start of the app to $100K MRR; in the early days, $5,000 deposits were invested in influencers, but the effect failed; the monthly average of competing products is about 40M views but about $6K MRR, indicating that views are decoupled from income. | Pushscroll, screen-time/doomscrolling control app Instagram/TikTok/Reels native video; first create a viral idea that is visual and strong in novelty; research competing products and niche creators, and reuse the hook/format of 50K+ likes; use Manychat comments to automatically DM to enlarge and install; focus on "how many new subscriptions the video brings" rather than pure views | High: The co-founder himself | This is the marketing side complement of the Pushscroll case. Mario's original article talks about "verify first and then build", and Alejandro's article explains "how to turn a visual app idea into a convertible short video". The key insight is: high plays do not equal revenue, hooks, first 7-10 seconds of value impressions, comment DMs and new subscription attribution must be tied together. | |
iOS Apps framework with >70% margins @appmaxxing / 2026-07-08 21:41 UTC Added 2026-07-09 (last 24-48 hours) | iOS app portfolio is currently about $5K/month; regular monthly expenses: Apple Tax $750, Claude Code $100, APIs/services $100, about $1K/month; there is another $500-$1,000 advertising test recently; the author said that after removing advertising, the ASO/SEO/AEO driver combination can exceed 70% pre-tax margin; the reply stated that there are about 20 apps, kill losers, optimize winners | iOS app portfolio / app factory by anonymous author Mainly ASO, SEO, AEO; Claude/Codex + Astro MCP for idea research, keyword verification, App Store Connect API, RevenueCat/Superwall, screenshots and metadata automation; emphasis on less auth, low friction, pan-keywords + brand title structure | Medium to high: The author himself | This is in contrast to Frederick/Pushscroll's "advertising amplification": Appmaxxer takes the multi-app, ASO/SEO/AEO, slower but high-margin portfolio route. The core value is clear in the fee schedule, which states that a $5K/month app portfolio does not necessarily require heavy advertising, but does require a lot of metadata, keywords, screenshots, pricing and review process automation. | |
Newsletter/business grew from $15K/mo to $45K/mo @tomaldertweets / 2026-07-09 11:35 UTC Added 2026-07-09 (last 24-48 hours) | Grows from $15K/mo to $45K/mo in last 6 months; team grows from 2 to 3, hiring 4th; cost/profit not disclosed | A newsletter/sponsor business not explicitly named in the post, centered around B2B SaaS sponsors; use beehiiv Long-term sponsor campaigns, quarterly/annual and always-on advertising; providing performance dashboards to sponsors; readership growth leads to higher advertising prices and more inbound sponsor leads; beehiiv Recommendations / Boosts bring a large number of readers | Medium: The author himself disclosed that there is a timeline, channels, team size and customer type; but the main post has a beehiiv affiliate CTA, lacks screenshots, costs, profits and product names, and has a heavy marketing component | Here is a sample newsletter / media sponsorship revenue growth. The added value lies in "advertising space sales are not a one-time investment, but use dashboards and long-term cooperation to increase sponsor LTV." It can be used to study how operating systems and customer renewals can replace simple increase in followers when personal media income changes from solo to small teams. | |
| FounderBrands 2024-10 launch; driven $640K last 20 months; current $72K MRR; targets close to $1M second full year; cost/profit not disclosed | FounderBrands X + LinkedIn audience starts from 17K followers; starts commenting every day in 2023, and a 62M views viral post brings breakthrough in 2024-03; the author said that now we optimize for revenue rather than followers | Medium: The author himself disclosed that there is product name, timeline, revenue and channels; but no screenshots, costs, profits, number of customers or contract structure, and it is a personal brand growth post | This is a sample of revenue from a personal brand-to-service/product business. The most useful part is the timeline: from continued reviews and content distribution in 2023, to productization in October 2024, to $72K MRR in 2026. It lends itself well to differentiation from SaaS/app samples: the moats here are more like trust, content equity, and sales conversions. | ||
iOS app day 39 / $1,865 per month @_frederickjames / 2026-07-07 12:58 UTC Added 2026-07-08 (last 24-48 hours) | Day 39 reached $1,865/m; 100 active subscriptions; stable appearance of $200 days; disclosed earlier on the same day: Day 38 about $1.8K MRR, Apple ads CPA $8.68, about 3x ROAS, budget expanded from $100/day to $150/day; subsequent CPA drifted to about $12, but the author said it was still profitable; the total profit was not disclosed | A B2C iOS app with an undisclosed name. The previous record shows that it is a habit tracker. Apple Search Ads first verifies paid demand and funnel; optimize app store page, onboarding, and paywall; test TikTok ads after exceeding $1K MRR, and expand the target from $1K MRR to $10K MRR | Gao: The author himself continuously disclosed, with media screenshots/videos, which can be cross-verified with the $1.5K MRR of 2026-07-02 and the earlier Apple Ads profit caliber; the details of this round of `twitter tweet` are not expanded due to TLS error, based on the `user-posts` timeline text and indicators | This is the sequential scaling of the Frederick iOS app case from $1.5K MRR to $1.865K/m. The most valuable thing is that the buying volume is more specific: CPA goes from $8.68 to about $12. The author still thinks it is profitable and starts to increase the daily budget. It’s ideal for tracking whether CPA, chargebacks, Apple’s cut, and retention erode surface MRR as a mobile subscription app moves from early ROAS validation to launch at scale. | |
AI Peekaboo about to cross $30K MRR @hello_code_ / 2026-07-06 17:17 UTC Added 2026-07-08 (last 24-48 hours) | The author says it is about to exceed $30K MRR; previous records are $26,671 MRR on 2026-06-30 and $20K MRR on 2026-06-25; the reply said churn was low but did not give a number; cost/profit not disclosed | AI Peekaboo / AIPeekaboo.com X build in public is one of the main growth drivers: bringing real dialogue, feedback, warm intros and customers; the author summarizes the lesson in his reply as distribution and customer obsession | High: The author himself disclosed that `twitter tweet` was successfully developed, including screenshot media, 131 likes, 82 replies, 4,932 views, 16 bookmarks; the product name can be cross-verified by replies and previous records; still missing cost, profit, channel attribution and screenshot details | This is a continuous update of AI Peekaboo from 20K -> 26.7K -> close to 30K MRR, illustrating that AI Search/GEO tools built openly on X can directly generate sales leads. It is not a complete financial report, but it is of great reference value for "whether revenue disclosure posts can bring B2B SaaS customers": the author clearly promoted X from a traffic source to a channel for customer feedback and warm intros. | |
Arthur portfolio $14,907 in last 30 days @arthuryuzbashew / 2026-07-07 13:47 UTC Added 2026-07-08 (last 24-48 hours) | Revenue in the last 24 hours: $628; revenue in the last 30 days: $14,907; another post on the same timeline stated that MediaFast revenue in the first 6 days of July was $1,425, which is about $7K/month at the current rate; cost/profit not disclosed | Arthur’s product portfolio; MediaFast; another iOS app is experiencing DDoS, and the specific revenue attribution is not completely split MediaFast continues to rely on SEO to grow; the author clearly stated that it is doing SEO and regards subscribing to churn as a current problem; previous records show that products such as Pix/MediaFast rely on SEO + GEO organic to increase their sales | Medium to high: The author disclosed it himself and attached screenshots, and it can be cross-verified with the B2C startup $7,680/30d and June portfolio $15,619 records of 2026-07-03; but the post does not have a complete product split, cost or net profit | The added value for Arthur is that combined revenue continues to rise: the 30-day window is already approaching $15K, and MediaFast alone is about $7K/month at the first 6 days of July. It reinforces the slow compounding path of SEO/GEO organic and also exposes operational issues such as subscription churn and infrastructure attacks. | |
Pep.ai 7 weeks after launch / $50K revenue @igasparens / 2026-07-05 00:57 UTC Added 2026-07-07 (last 24-48 hours) | It is reported that Pep.ai has accumulated revenue of $50,000 in the 7 weeks since it was launched, and the current run-rate is close to $30,000 MRR; there were 300 people on the waitlist before going online; influencer posts cost "pocket money" and Reddit posts cost $0; profits are not disclosed | Pep.ai First find subdivided niche influencers for pre-launch verification, and then use Reddit threads of the same niche to guide the waitlist; first verify the demand and queue list, and then officially go online. | Medium: The information is highly complete, including product name, timeline, revenue, channels and low-cost clues; however, this post is a second-hand retelling of the founder’s case by @igasparens. Currently, follow-up reading of Twitter CLI is restricted by TLS error, and the founder’s long post or the original dashboard image cannot be traced. | This is suitable as a "pre-launch distribution verification" clue, rather than financial hard evidence. The core inspiration is not to rush to release the product first, but to use vertical influencers and Reddit to gather demand, waiting lists and willingness to pay, and then directly transfer revenue when it is officially launched. In the follow-up, priority should be given to following up on the original post of the founder of Pep.ai, screenshots of receipts, and cost/refund details. | |
BrainRot first month revenue unit economics @sspriint / 2026-07-04 18:55 UTC Added 2026-07-07 (last 24-48 hours) | It is reported that BrainRot’s sales were $25,800 in one month after launch, and Apple’s proceeds after 15% were about $20,000; the stable period was about $300-$400/day; 399K App Store impressions -> 80K product page views -> 40K downloads; about $0.50 proceeds/download; the author estimated the own labor costs at 500 hours, $200/hour $100K, still equivalent to $80K "owed" in the first month; profit not disclosed | BrainRot，iPhone screen time control app App Store exposure and daily content publishing; the author plans to use higher download value to support creator distribution and advertising, but the current $0.50/download is lower than the target $1-$2/download | Medium and low: There is clear revenue, platform commission, conversion funnel, labor cost and unit economic breakdown, but the source is @sspriint’s second-hand summary of the video/case; it lacks the founder’s original post, product backend screenshots and cash flow details | This is a useful counter-example to the "revenue headline does not equal return on capital". The $25.8K in the first month seems impressive, but after deducting Apple, the proceeds are only about $20K; if the founder’s 500 hours are included as opportunity costs, the capital will not be recovered in the short term. It fits in the mobile subscription app chapter as a reminder: App Store impressions, downloads, and first-month sales all fall into revenue per download and scalable customer acquisition costs. |
Showing 41-60 of 110 cases