Track Deprecation Warnings in Prod

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We built a (free) tool that tracks deprecation warnings at runtime (ruby only for now). It's a gem you install that works like Sentry or Rollbar, but aggregates deprecation warnings instead of exceptions. Docs are at https://docs.infield.ai/docs/monitor-deprecation-warnings We built this because we rely on deprecation warnings at Infield as one piece of safely upgrading large Rails apps. Often large apps don't have perfect test coverage of all their gem usage, or use different codepaths in staging/prod than you on CI. There are good existing open source tools like https://github.com/Shopify/deprecation_toolkit for tracking deprecations in your CI suite but they don't work well in prod. Our tool works as an open source gem that you install ( https://github.com/infieldai/infield-ruby ) which spins up a background thread that collects deprecation warnings and reports them to our API. We aggregate them there and track them over time so you can verify you've addressed them before you push an upgrade. It works for any deprecation that goes through ActiveSupport::Deprecation, which covers Rails and a bunch of Ruby gems but not ruby itself (that'll come!).

Visit product View on Hacker NewsDec 19, 2024

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

82%82% 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

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

Hacker NewsStrong engagement from HN community · Strong signals: exist, open source, existing · 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.

TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal

57%57% 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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active, shopify · 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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