Reffed
Indie HackersGet cited by every AI your customers ask.
AI assistants are quietly recommending your competitors. Existing tools cost $79+ and check 3 engines. Reffed checks all 6 for $29/mo, in plain language anyone can act on.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
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Product HuntOn track for Day 1 leaderboard · Strong signals: plain · Missing: mac, agents, macos70%70% 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: exist, existing · Missing: https docs, excited, just released55%55% 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, personal46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto38%38% predicted probability of success on BetaList, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting34%34% 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, 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, revenue27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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BetaListId
Identifying, Segmenting and Contacting our Customers51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Identifying, Segmenting and Contacting our Customers
Hacker News11Ou
Our first three featured customers57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Our first three featured customers
Hacker News3Visibl52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get clicked by humans. Cited by AI.
Indie Hackerscommitment-side-projectNe
Never ask someone more than once to do something - iPrompted41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Never ask someone more than once to do something - iPrompted
Hacker News16Gi
Give, Then Ask41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Give, Then Ask
Hacker News1Fl
FlyerMe - AdSense didn't approve so ask you all to dissect it40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FlyerMe - AdSense didn't approve so ask you all to dissect it
Hacker News2As
Ask and Tally41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ask and Tally
Hacker News1As
Ask the NSA37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ask the NSA
Hacker News68On
OneForty – Ask anyone anything41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
OneForty – Ask anyone anything
Hacker News2