Re

React Geiger – performance profiling using sound

Hacker News

React Geiger – performance profiling using sound

Share card

Actual performance

164points
36comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
76%76% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
60%60% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
50%50% 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 · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Li
Libquiet – transmit data using sound65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Libquiet – transmit data using sound

Hacker News127
Us
Using THREEJS's New InstancedMesh in React46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Using THREEJS's New InstancedMesh in React

Hacker News6
Ge
Generate favicons using React and JSX42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Generate favicons using React and JSX

Hacker News3
re
react-d3-speedometer, show speedometer like gauge in ReactJS using d350%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

react-d3-speedometer, show speedometer like gauge in ReactJS using d3

Hacker News2
Reactime
Reactime54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reactime is a performance and debugging tool for React apps

Indie Hackers1apis
Us
Use-sound, a React hook for sound effects on the web65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Use-sound, a React hook for sound effects on the web

Hacker News131
Bu
Build Loading Screen Using React and RxJs53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Build Loading Screen Using React and RxJs

Hacker News1
Sm
Smart Assistant with IBM Watson and Chatengine Using React51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Smart Assistant with IBM Watson and Chatengine Using React

Hacker News1
TC
TCP/UDP over sound69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TCP/UDP over sound

Hacker News186
So
Sound Classification with CoreML59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sound Classification with CoreML

Hacker News1