Ch

Checka – follow content beyond RSS – aggregate, filter, digest

Hacker News

Checka – follow content beyond RSS – aggregate, filter, digest

Hi HN, Our team has developed an information processing assistant called Checka. Compared to many other information services, Checka focuses on allowing users to describe their target information using natural language and use LLM workflow to filter the content. Here is the simplified flowchart of information processing: https://images.checka.ai/images/HN_pipeline.png How Checka Works: - Data Collection: It gathers information from selected data sources using scrapers, APIs, and RSS feeds, and structures the data. - Filtering and Analysis: Through multiple LLM requests, it pre-filters and thoroughly analyzes all the information data objects to determine if they meet your specified "target information" criteria. - Digest: For data that meets the criteria, it uses generative capabilities to digest the information based on your chosen format, making it easy to quickly access the insights you need. As developers, we’ve all been there—building tools to tackle the endless stream of scattered information. But just simply aggregating content often ends up creating more noise. If you’ve ever faced hundreds of unread items in your RSS reader, you know the feeling. Therefore, we created Checka, hoping it would be useful to some of you. We would greatly appreciate any feedback as we know HN is the best crowd for it.

Share card

Actual performance

8points
10comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
86%86% 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, using, apis · Missing: mac, agents, macos
67%67% 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: pipe, io · Missing: https docs, excited, just released
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
38%38% 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, revenue
10%10% 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.

Incorrect prediction on native model

Similar products

RS
RSS Filter66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RSS Filter

Hacker News7
Fi
Firefox Addon to Filter NSFW Content49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Firefox Addon to Filter NSFW Content

Hacker News62
RS
RSS with Ruby47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RSS with Ruby

Hacker News2
Br
BringRSS – RSS/Atom Newsreader56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BringRSS – RSS/Atom Newsreader

Hacker News6
So
Sourcerer – An RSS newsreader for people who follow lots of sources59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sourcerer – An RSS newsreader for people who follow lots of sources

Hacker News4
Ha
Hackernews RSS Feed with Distilled, Inlined Content53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hackernews RSS Feed with Distilled, Inlined Content

Hacker News2
VI
VIPtrace.com – Content Will Follow You44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

VIPtrace.com – Content Will Follow You

Hacker News1
Filter RSS
Filter RSS64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get an RSS feed of the links people share on social media

Indie Hackers1productivity
Da
Dato.rss – RSS Search52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dato.rss – RSS Search

Hacker News56
Fo
Focusd – A Calm RSS Reader - turn your feeds into a daily digest62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Focusd – A Calm RSS Reader - turn your feeds into a daily digest

Hacker News14