Built a platform where devs/designers make $20k/mo from their work docs

Hacker News

Hey HN, I noticed senior tech folks have valuable knowledge in their work docs – processes, templates, guides. This is expertise worth thousands, sitting unused. But they rarely share it: too busy for courses, unsure about value, or overwhelmed by setup. I built Tapflow ( https://tapflow.co ) to fix this: - Notion-like editor you already know - Drop your content, set price - Get instant product page - Built-in payments Numbers: - Some early users made $20k+ from their products - 1000+ registered pros, mostly word of mouth, Reddit and PH - Profitable, bootstrapped side-project Would love feedback: - What stops you from sharing your expertise? - How would you price your technical knowledge? Try it: https://tapflow.co Stack: Backend: nginx, express.js, Apollo GraphQL, postgreSQL, redis, Stripe Frontend: next.js, react-query, GraphQL, Material UI, yoopta wysiwyg Hosting: AWS, DigitalOcean, bunny.net Free to use, 10% fee on sales or Pro tier.

Visit product View on Hacker NewsDec 18, 2024

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Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, stripe · Missing: mac, agents, macos

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: lua, nginx, ide · Missing: https docs, excited, just released

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: users, profitable · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host, users · Missing: plus, intuitive, reviews

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: profit, profitable, bootstrapped · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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