Free One-shot cloud agents with OpenCode and Daytona and Cloudflare

Hacker News

Hi HN! Outside of the hackernews bubble we often find engineers who are barely using AI (aka using microsoft copilot) and we needed an easy way to show the latest capabilities in a non confusing UI. So we dumbed down our product to a simple text box UI where you one-shot your feature and you get an email with a link to a PR in github. The backend is hosted in Cloudflare, spinning sandboxes in Daytona that run the Opencode harness. Feel free to give it a try or share it with people who are skeptical of the latest models. You get a bunch of credits for anthropic, openai & opensource models during onboarding + you can connect your codex sub.

Visit product View on Hacker NewsMay 21, 2026

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Launch Intel predictions

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

96%96% 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

73%73% 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 · Missing: https docs, excited, just released

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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