Si

Simulate IoT devices to develop applications

Hacker News

Simulate IoT devices to develop applications

Share card

Actual performance

8points
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
83%83% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
34%34% 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
22%22% 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
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Aigur
Aigur39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Easily develop Stable Diffusion powered applications

Indie Hackers1ai
De
Develop and test your applications on notional but representative data37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Develop and test your applications on notional but representative data

Hacker News2
Ho
How to Develop Apache APISIX with Gitpod?36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How to Develop Apache APISIX with Gitpod?

Hacker News2
Temporal Cloud
Temporal Cloud59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Develop failure-proof applications

Product Hunt+337Open Source
Vi
Visualizing the Impossible – How to Simulate Electrons63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visualizing the Impossible – How to Simulate Electrons

Hacker News5
Ic
Ice – WSGI microframework to develop small web applications in Python49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ice – WSGI microframework to develop small web applications in Python

Hacker News53
A
A platform to develop user-friendly applications for enterprise44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A platform to develop user-friendly applications for enterprise

Hacker News4
Go
GoRef – slim profiler for Go applications66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GoRef – slim profiler for Go applications

Hacker News3
Sq
Squash debugger for microservices applications67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Squash debugger for microservices applications

Hacker News1
Di
Distributed tracing for Go applications with eBPF54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Distributed tracing for Go applications with eBPF

Hacker News2