I built a tool that helps fixing JavaScript production bugs much faster

Hacker News

Logging and tools like Sentry are a thing of the past. A while back on a night out in northern Norway, I had to start debugging a critical production bug that broke the payment flow of my SaaS product. I had limited time to fix the bug or I would have lost about ~1K profit. Super stressful. I had logging and Sentry in place, but neither helped me reproduce or find the root cause of the bug. Ever since, I started thinking; why can’t we just have a tool that you setup once, and that allows us to reproduce every function call and function that the user ran before the bug? This is how the idea for Flytrap was born. Flytrap is the fastest debugging tool for JavaScript projects. Just set it up in 5 minutes. No logging needed. When viewing bugs on Flytrap, it creates a visualisation of your code, and displays the bugs RIGHT IN YOUR CODE. Each function and function call in your code can be inspected for their input and output values, to gain a deep understanding of what went wrong. Then, to reproduce any bug, just copy the ID of your bug, place it in your Flytrap config file, and boom, the values of the end-user will be injected in your local development environment! Links: Home page: https://www.useflytrap.com Docs: https://docs.useflytrap.com/ GitHub: https://github.com/useflytrap/flytrap-js I would be happy to hear what issues you have had with fixing bugs in production. Ideas, experiences and feedback are much appreciated!

Visit product View on Hacker NewsAug 9, 2023

Share card

Actual performance

5points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

82%82% predicted probability of success on Product Hunt, 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

64%64% 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 · Missing: plus, platform, intuitive

37%37% 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

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

Acquire.comPre-revenue stage for this audience · Strong signals: profit, saas · 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

Similar products

Flytrap – Debugging tool for fixing production bugs76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Flytrap – Debugging tool for fixing production bugs

Hacker News13

I Built Tic Tac Toe with JavaScript59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Built Tic Tac Toe with JavaScript

Hacker News2

Simple Recommender System for MovieLens Dataset built with JavaScript58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple Recommender System for MovieLens Dataset built with JavaScript

Hacker News2

Roboter – an opinionated build tool for JavaScript63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Roboter – an opinionated build tool for JavaScript

Hacker News1

CrashBreak – A new approach for production exceptions and bugs58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CrashBreak – A new approach for production exceptions and bugs

Hacker News4

A JavaScript Tool to Generate Totalistic Cellular Automata52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A JavaScript Tool to Generate Totalistic Cellular Automata

Hacker News2

Promises in JavaScript41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Promises in JavaScript

Hacker News1

Javascript Keylogger54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Javascript Keylogger

Hacker News1

Ivy - Bound JavaScript54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ivy - Bound JavaScript

Hacker News1

Javascript constructor overloading54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Javascript constructor overloading

Hacker News2

Browse all products Analyze your launch