DimensionsGuide
Indie HackersReference Database of Dimensioned Drawings
As a licensed architect, professor, and founder of my own architecture practice, I have experienced first hand the lack of easily accessible and trustworthy dimensional data on the internet. This fills that gap.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting30%30% 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, intuitive20%20% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue14%14% 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, crypto5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Go
Go-Mnemonic – Reference Implementation of a BIP-39 Go36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Go-Mnemonic – Reference Implementation of a BIP-39 Go
Hacker News3Greenman39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Greenman is a British witchcraft reference app
Indie Hackers1aiDataTau58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
DataTau is the reference newsboard for Data Scientists
Indie Hackers2aiUn
Unity3D unassigned reference warnings at compile time50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Unity3D unassigned reference warnings at compile time
Hacker News2Re
Refbox – Reference anything while you work43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Refbox – Reference anything while you work
Hacker News1A
A reference use of Hashicorp's Raft implementation36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A reference use of Hashicorp's Raft implementation
Hacker News60hr
hraftd – A reference use of HashiCorp's Raft implementation36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
hraftd – A reference use of HashiCorp's Raft implementation
Hacker News1Ap
Apollo GraphQL Learning Reference64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Apollo GraphQL Learning Reference
Hacker News3Me
Memory Reference Rails35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Memory Reference Rails
Hacker News1Ho
HourGlass – a reference MERN App with best practices54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HourGlass – a reference MERN App with best practices
Hacker News3