AutomaSnap
Indie HackersAI-powered nameplate scanning and parts listing.
Manual data entry for industrial parts is slow and error-prone. I'm building AutomaSnap to digitize nameplates instantly with AI and bring real automation to the factory floor.
Visit productView on Indie HackersJan 1, 2026commitment-side-projectemployees-under-10founders-code-yes
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting50%50% predicted probability of success on Indie Hackers, 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, personal49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos44%44% 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, intuitive40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue18%18% 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, crypto18%18% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
VH
VHDL arbiters (three parts)56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
VHDL arbiters (three parts)
Hacker News1No
No Scary Parts56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
No Scary Parts
Hacker News2VH
VHDL arbiters tutorial – Three parts37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
VHDL arbiters tutorial – Three parts
Hacker News1Cy
Cyberdeck Made from Scrap Parts57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cyberdeck Made from Scrap Parts
Hacker News1ListsGenie43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI-powered e-commerce specialist and Etsy listing with Image
Indie Hackerscommitment-full-timeShopFoundry40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI-powered Etsy Listing Optimization Workspace
Indie Hackerscommitment-side-projectSpektrHQ55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Vulnerability Scanning for Ruby on Rails apps!
Indie Hackers1programmingDecheck62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Vulnerability scanning at its best
Indie Hackersvertical-b2bI
I reversed engineered parts of Yo's API71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I reversed engineered parts of Yo's API
Hacker News3ListShield66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI powered Amazon listing verification
Indie Hackers1e-commerce