Launch Intel
In

IndieScanner – Find product ideas by analyzing Reddit with LLMs

Hacker News

IndieScanner – Find product ideas by analyzing Reddit with LLMs

Hey HN, I’m an aspiring entrepreneur who has struggled to find product ideas grounded in real user needs. Interviewing users is often infeasible, so I’ve spent countless hours browsing Reddit to uncover pain points from target user groups. While this works, it’s time-consuming and inefficient. To solve this, I built IndieScanner, a tool that uses LLMs to analyze Reddit discussions and streamline this process. Here’s how it works: 1. Enter a question (e.g., “What challenges do influencers face when creating content?”) 2. Define a target audience (e.g., TikTok influencers). 3. Add optional context (e.g., “Prioritize pain points solvable with AI”). 4. Select subreddits to explore (e.g., “/r/contentcreators,” “/r/videoediting”). The tool scans thousands of discussions and generates a report in 2-3 minutes, including references to relevant threads. I’d love to hear your thoughts and feedback. You can try it out for free at indiescanner.com.

Visit productView on Hacker NewsJan 15, 2025
Share card

Actual performance

4points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, context · Missing: mac, agents, macos
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io, including · Missing: https docs, excited, just released
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: efficient, users · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, users, scanner · Missing: mobile apps, ios, personal
31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Tr
Track product alternative requests on Reddit to find product ideas45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Track product alternative requests on Reddit to find product ideas

Hacker News1
My
My attempt at a decentralised Reddit60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My attempt at a decentralised Reddit

Hacker News2
Re
Reddit Imgur Uploader69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reddit Imgur Uploader

Hacker News2
Re
Reddit 1.056%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reddit 1.0

Hacker News4
Af
Afroic – The African Reddit63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Afroic – The African Reddit

Hacker News3
Du
Dumppit – A Reddit Firehose63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dumppit – A Reddit Firehose

Hacker News1
Re
Reddit Firehose74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reddit Firehose

Hacker News23
Bl
Bleuit – A Recursive Reddit61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bleuit – A Recursive Reddit

Hacker News9
I
I scraped 5k Reddit, G2, Capterra and Upwork complaints36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I scraped 5k Reddit, G2, Capterra and Upwork complaints

Hacker News3
Ro
Rockets – Reddit and websockets61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rockets – Reddit and websockets

Hacker News98
Browse all productsAnalyze your launch