Pinnasys

Pinnasys

Indie Hackers

AI solutions engineered to survive production.

AI pilots die in the gap between demo and production. Pinnasys closes that gap, helping mid-market teams run on AI and startups ship theirs faster. We measure success in hours saved and revenue unlocked, not demos.

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
68%68% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
45%45% predicted probability of success on Hacker News, 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
40%40% predicted probability of success on Indie Hackers, 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
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit
27%27% 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
22%22% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Sq
SquareComposer – Scala solutions for CubeComposer33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SquareComposer – Scala solutions for CubeComposer

Hacker News3
UV
UVA Solutions35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

UVA Solutions

Hacker News1
woodmanlab
woodmanlab41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Laboratory of it solutions

Indie Hackerscommitment-side-project
St
StackImpact – Java Production Profiler57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

StackImpact – Java Production Profiler

Hacker News1
PO
POC AES implementation in C (not for production)25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

POC AES implementation in C (not for production)

Hacker News1
Twyng WebRTC
Twyng WebRTC58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Webinar Solutions, Virtual Classroom Solutions

Indie Hackerscommitment-side-project
Raaypd
Raaypd9%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

One Platform, Many Solutions

Product Hunt+12
Bytexus Software solutions Pvt. Ltd.™
Bytexus Software solutions Pvt. Ltd.™28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We innovate to serve

Indie Hackerscommitment-full-time
La
Langchain-serve – Langchain apps on production65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Langchain-serve – Langchain apps on production

Hacker News4
Ho
How to ho-patch production apps49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How to ho-patch production apps

Hacker News1