ragchat

ragchat

Indie Hackers

Transform your Documents into an Intelligent Library!

We're on a mission to revolutionize how people interact with information. At ragchat, we believe knowledge should be accessible, interactive, and intelligent. That's why we developed ragchat.

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
52%52% 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, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Mo
MongiaJS, a library for consuming MongoDB documents53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MongiaJS, a library for consuming MongoDB documents

Hacker News9
Fast Q&A
Fast Q&A50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Transform your documents into intelligent FAQ widgets with A

Indie Hackerscommitment-side-project
An
Analyzing Documents with Three Sigma39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Analyzing Documents with Three Sigma

Hacker News1
Do
Doksbin - Pastebin for Documents49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Doksbin - Pastebin for Documents

Hacker News7
Re
Redis-Automerge: CRDT Documents for Redis52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Redis-Automerge: CRDT Documents for Redis

Hacker News5
Pa
Parseflow, how to parse documents when you're broke49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Parseflow, how to parse documents when you're broke

Hacker News2
La
LavaSend - SnapChat for documents71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LavaSend - SnapChat for documents

Hacker News1
ma
mario.py, a convenience library for i/o35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

mario.py, a convenience library for i/o

Hacker News2
Li
Livewire: Livescript microrouting library51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Livewire: Livescript microrouting library

Hacker News2
A
A Dropbox library for Go54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Dropbox library for Go

Hacker News3