Feedist
Indie HackersSimple feed monitor
Product feed plugins on e-commerce sites sometimes fail, causing problems with ads and/or third-party integrations. Feedist will let you know if something is potentially amiss.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos64%64% 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 NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting41%41% 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, personal38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive31%31% 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, revenue21%21% 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, crypto11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Fe
Feed the Quine41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Feed the Quine
Hacker News1Dj
Django Filtered Feed40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Django Filtered Feed
Hacker News1GT
GTFS (transit) feed normalization41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GTFS (transit) feed normalization
Hacker News8Rundown32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your feed, synthesized.
Indie Hackers1aiAI
AI Feed26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Feed
Hacker News1Ea
Easily monitor your cronjobs in a simple dashboad47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Easily monitor your cronjobs in a simple dashboad
Hacker News1Sy
System monitor for OSX50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
System monitor for OSX
Hacker News1SL
SLA Monitor by StatusGator50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SLA Monitor by StatusGator
Hacker News1Ma
Magellan VHDL Monitor40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Magellan VHDL Monitor
Hacker News2Pe
Per-monitor workspaces for Compiz 0.8.x51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Per-monitor workspaces for Compiz 0.8.x
Hacker News8