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Open-Source TypeSafe Feature Flags for Next.js

Hacker News

Open-Source TypeSafe Feature Flags for Next.js

Hey Hackernews, my name is Tim and I've built a solution for Feature Flags & Remote Config for Next.js (and other JS/TS Frameworks). My goal was to built a solution which satisfies the needs of modern development teams in the JS world: amazing type safety and awesome DX. Abby ticks those boxes by having static types (no generation step needed) and devtools which allow you to easily debug your feature flags during development (and production if you're feeling funky). Would love to hear about your experience with feature flags & existing solutions you've used so far. Especially with Next.js. Cheers Tim

Visit product View on Hacker NewsOct 12, 2023

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

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

56%56% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

41%41% 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

40%40% 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

15%15% 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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