Chancy, a Postgres-backed, batteries-included task queue for Python

Hacker News

Chancy is an early-stage project to address a lot of the issues I've run into over the years trying to use Celery+Flower on small and large projects. It's now been used in a few projects with thousands of users, over a billion jobs, and hundreds of thousands of workflows. All Chancy features work with just Postgres, on 1 or 1000 workers or even embedded inside your existing asyncio servers like FastAPI. - Support for job priorities, retries, timeouts, scheduling, global rate limits, memory limits, unique jobs, cancellation, and more - asyncio-based worker with support for asyncio, threaded, process-based, and sub-interpreter job execution. - Configurable job retention for easy debugging and tracking - Minimal dependencies (only psycopg3 required) - Plugins for a dashboard, workflows, cron jobs, and more - Optional transactional enqueueing for atomic job creation - asyncio & sync APIs for easy integration with existing codebases

Visit product View on Hacker NewsNov 29, 2024

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

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

71%71% 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 · 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: users · Missing: plus, platform, intuitive

31%31% 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

18%18% 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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