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Genapi.co – from idea to production API in minutes
Hacker NewsGenapi.co – from idea to production API in minutes
Hello HN, I worked as a Software Engineer, DevOps, and SRE for 8+ years and I saw three things in every company: - backend development takes weeks/months - cloud spend is uncontrolled - on-call is the pain for devops I made a tool to help engineers like myself to avoid these issues and allow them to focus on new products, new features, monolith breakdown, and other tasks GenAPI creates production-grade API in minutes from text input -Klim
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Product HuntOn track for Day 1 leaderboard · Strong signals: new, tasks · Missing: mac, agents, macos87%87% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released75%75% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% 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, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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