Morning Brief – Track any topic on HN, Reddit and others
TL:DR - https://morningbrief.ai/setup Hi, HN -- We're two indie cofounders who bootstrapped a new product to scratch our own itch: there's so much great content out there, but it's hard to find it. Sites like HN serve us like-minded people, but there are many more topics in other non-HN niches. Our idea is this: an email you get once a day, filled with only top articles (posted to HN, Reddit, etc) that match your specific interests. You can specify which interests, and how many links you want. Ranked by our signal score. To start, we built an ingestion engine. In the first few…
In plain words
Morning Brief is an email newsletter service that curates top articles from Hacker News, Reddit, and other platforms based on user interests. Subscribers receive daily emails containing ranked links matching their chosen topics and preferred quantity. The service aggregates content from multiple sources, applies semantic tagging to categorize articles, and scores them using an internal ranking algorithm to surface the most relevant pieces. It's designed for people who want quality content discovery across niche communities beyond mainstream platforms.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
TL:DR - https://morningbrief.ai/setup Hi, HN -- We're two indie cofounders who bootstrapped a new product to scratch our own itch: there's so much great content out there, but it's hard to find it. Sites like HN serve us like-minded people, but there are many more topics in other non-HN niches. Our idea is this: an email you get once a day, filled with only top articles (posted to HN, Reddit, etc) that match your specific interests. You can specify which interests, and how many links you want. Ranked by our signal score. <tech-info> To start, we built an ingestion engine. In the first few weeks we only processed HN posts (1k/day) then we added Reddit posts (1m/day) then we added some other sites like Indie Hackers and relevant Twitter accounts. Then we added semantic tagging. To start we used a generalized tagging service, but then quickly realized we needed to build our own layer because they don't understand many of the current trendy topics. Next up we wanted to add thumbnails to worthy articles (about 10k/day). It became apparent this was going to cost over $1k/month using a commercial API. So we built our own service using headless chrome, Laravel & puppeteer. Our original plan was to just show headlines, HN-style. But after initial feedback users asked for article summaries. To start we used a 3rd party commercial summarizer. Aside from the cost (appx. $400/month for our needs) we were not super happy with the 3rd party results so we built our a summarizer. Here's an example of a brief with summaries - https://morningbrief.ai/sent/24960b76-4d494be1-ae822280-14274649 - this example is crypto focused with no thumbnails (keep in mind every brief is 100% custom). Here is another example of a more eclectic brief without summaries - https://morningbrief.ai/sent/377f08da-18f04407-a655d594-b1b3043b Our stack right now is Python for link processing and summaries, Laravel to grab screenshots, send emails, and be the web app. We use SaltStack to orchestrate infrastructure. We run 13 servers on AWS with a cost of approx. $300/month. </tech-info> When we started out we thought this would be a weekend project! Turns out solving timely, personalized, summarized, quality controlled, content aggregation at scale (in a cost effective way) is quite a difficult problem. That's how we managed to soak up 6+ months of our side project time just getting it ready for this Show HN! Our early users have told us that we've sent them important articles that they missed -- which is exactly why we built this. You can check out how the brief builder works (without registering): https://morningbrief.ai/setup. We're still experimenting with pricing, but we're trying a 2-week free trial, then $5/mo (annual). Any feedback would be appreciated! Justin & Joe
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, November 2021
the whole month →
- MW
Life & fun · 2021 · nomdebebe.app
- IM
Dev tools · 2021 · apps.apple.com

Eligible startups get Intercom features at a 95% discount
Growth · 2021 · intercom.com
- LR
Life & fun · 2021 · jacquesmattheij.com
