Leapcell – Deploy 20 Python/JS/Go/Rust Projects for Free

Hacker News

Hi HN, This is Isaac, co-founder of Leapcell ( https://leapcell.io/ ). I used to shut down small hobby projects because cloud costs and maintenance were too high. They would just sit on GitHub, unused. Leapcell lets you keep your ideas online without worrying about cost. You can deploy *up to 20 projects for free* using our serverless container architecture, so multiple projects can run simultaneously. Switch between modes as your project grows: - *Serverless*: fast cold start (<250ms), resources scale with traffic, ideal for quickly validating ideas. - *Dedicated machines*: stable, predictable costs for more mature projects, to avoid unexpected serverless bills. This way, you can deploy all your code online, and Leapcell helps you find the most cost-effective setup at any stage. Leapcell also provides built-in PostgreSQL, Redis, logging, async tasks, and web analytics, so your projects just work.

Visit product View on Hacker NewsSep 17, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, tasks, using · Missing: agents, macos, agent

68%68% 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

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

58%58% 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: way · Missing: mobile apps, ios, personal

28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

27%27% 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, revenue

23%23% 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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