Tr

Trendeca – Radically Simple Data Acquisition for Hardware Engineers

Hacker News

Trendeca – Radically Simple Data Acquisition for Hardware Engineers

Share card

Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
48%48% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
45%45% 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
34%34% 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
26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Sl
Slack for Hardware Engineers73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Slack for Hardware Engineers

Hacker News4
I
I made an interview platform for hardware engineers in Verilog62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made an interview platform for hardware engineers in Verilog

Hacker News5
I
I made SOL75 – a compiler for hardware59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made SOL75 – a compiler for hardware

Hacker News1
Mi
Microcontroller with hardware-accelerated Lua VM72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Microcontroller with hardware-accelerated Lua VM

Hacker News8
ProjectHunt
ProjectHunt37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

IoT, Hardware

Indie Hackerscommitment-side-project
I
I built a collaborative interview platform for hardware engineers69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a collaborative interview platform for hardware engineers

Hacker News1
Da
Datastack.tv – concise screencasts for data engineers59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Datastack.tv – concise screencasts for data engineers

Hacker News3
datastack.tv
datastack.tv36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Concise screencasts for data engineers.

Indie Hackerscommitment-full-time
A
A job board for hardware engineers70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A job board for hardware engineers

Hacker News15
Si
Simple visualisation of Sigfox data with Thingstudio47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple visualisation of Sigfox data with Thingstudio

Hacker News4