Di
Digitally sign your LLM chats to "prove" the response is unaltered
Digitally sign your LLM chats to "prove" the response is unaltered
Share cardActual performance
1points
5comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →67%67% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
13%13% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Sh
ShiLLM – An LLM that inserts ads into every response39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ShiLLM – An LLM that inserts ads into every response
Do
Do you have a controversial opinion? Well Prove it56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Do you have a controversial opinion? Well Prove it
Co
Code in Response to “The Trouble with Symlinks.”53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Code in Response to “The Trouble with Symlinks.”
Ti
TimeProofs – Prove when data existed without uploading it50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TimeProofs – Prove when data existed without uploading it
I
I made a app to organize LLM chats46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a app to organize LLM chats
Do
Dostr – Nostr and Sign in with Ethereum43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dostr – Nostr and Sign in with Ethereum
LeaseAI12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Catches lease traps before you sign
DoorProfit26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
See the crime before you sign the lease
Kn
Knowing – an LLM tool built on concept hierarchies, not prompt-response48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Knowing – an LLM tool built on concept hierarchies, not prompt-response
Corner Champ52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Prove You Know Your Neighborhood