Ap
Apps data / db access for free
Hacker NewsApps data / db access for free
https://ideasfilter.com/ Hi made the project a while ago, havent done much with it. Anyway if anyone wants the app data try psql -d ideatron -U howard_business -h 192.95.30.65 -p 5434 pass: izundu#44@pass There are 300+k apps Its not much but its honest work
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: apps, way · Missing: mobile apps, ios, personal47%47% predicted probability of success on TrustMRR, 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apps · Missing: mac, agents, macos24%24% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% 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, crypto7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Au
AutoTable - An experiment in storing schemaless data in a relational DB47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AutoTable - An experiment in storing schemaless data in a relational DB
Hacker News1DB
DB Migrations as Clojure data42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
DB Migrations as Clojure data
Hacker News31
DB To Data37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
数据库到数据
Product HuntDa
DataCircle-Data Marketplace, StackOverflow Surveys Through DB Access38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
DataCircle-Data Marketplace, StackOverflow Surveys Through DB Access
Hacker News7Bl
BlobCity DB44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
BlobCity DB
Hacker News37Th
The Whois DB44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Whois DB
Hacker News2Aj
Ajqvue Covid-19 SQLite DB56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ajqvue Covid-19 SQLite DB
Hacker News1Re
ReDB – Distributed data mesh for seamless DB replication and access56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ReDB – Distributed data mesh for seamless DB replication and access
Hacker News3Py
Pypeline DB, a database for data sets46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pypeline DB, a database for data sets
Hacker News2rano rana ni rite15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
access for free
Indie Hackers