Hackobar – One feed for AI news
Hey HN, Out of frustration of keeping up with AI news, I built hackobar. It fetches the AI related news from multiple sources such as HN, arxiv, github trending repos, huggingface, many ai subreddits, twitter handles that cover AI, Tech news outlets, major ai lab blogs and of course the numerous AI news letters that are growing by day. GitHub trending repos isn't "news" but as an engineer it matters. you can't read every arXiv paper or every HuggingFace drop. HN has the best discussions, Twitter has some, newsletters have some. I used to check 5 places and still felt behind. Building this…
What it does
In the maker’s words, at launch
Hey HN, Out of frustration of keeping up with AI news, I built hackobar. It fetches the AI related news from multiple sources such as HN, arxiv, github trending repos, huggingface, many ai subreddits, twitter handles that cover AI, Tech news outlets, major ai lab blogs and of course the numerous AI news letters that are growing by day. GitHub trending repos isn't "news" but as an engineer it matters. you can't read every arXiv paper or every HuggingFace drop. HN has the best discussions, Twitter has some, newsletters have some. I used to check 5 places and still felt behind. Building this was fun. I had to face many technical challenges, even though I have used Claude Code to help build I think the decisions I took to mitigate those challenges are interesting and wanted to share with this crowd. 1 Fetching: I had to fetch different sources at different rate because fetching some on regular bases didn't make sense. for example, fetching AI labs blogs every few hours does not make sense but the HN front page or reddit to get a sense what trending does 2 Filtering: Each articles fetched was filtered for specific top level keywords, then Gemma 4 26B batch classifies each item was AI relevant or not. 3 Deduplication: I deduped using 3 layer pipeline. URL normalization, Jaccard on word tokens and Gemma semantic matching. The same arXiv paper can arrive from HuggingFace or HN, and might show up in three newsletters the same day. When a duplicate is found, the original news items cross-platform score gets bumped instead of the new item being silently dropped. 4 Scoring: Each item is scored based on the engagement, llm signal, cross platform signal, recency decay. And additionally each source has a weight component which keeps research from getting buried by social noise. 5 Summarization: For all the filtered and deduped, scored articles I use claude to generate a single line title and a 50 word summary. I have ensured the prompt to make hype free summary which concentrates on architecture, the benchmarks and why it matters to individuals. Finally it surfaces 25 top/new cards in a swipeable feed for easier navigation, you can still read the original article if you want. Initially I built this to work entirely on cloudflare free tier. Keeping every external HTTP call and every Supabase query under 50 subrequest per invocation limit. Eventually i had to go for paid worker as the cpu 10ms limit was bit challenging with improved deduplication. Stack: Next.js on Cloudflare Pages, Hono API worker, Supabase, Anthropic Claude, Gemma via Cloudflare Workers AI. Recently, I added another lens that filters the whole feed and highlights how this AI news impacts if you are builder, researcher, founder, invester, policy maker and healthcare worker. Honestly not sure if it's useful or gimmicky. Curious what you think. hackobar.com | no paywall, no login. Would love your feedback or thoughts.
Does the same job
all alternatives →
- IBI build a dedicated news site for AI developers (think HN for AI/ML)2023 · news.aiapipro.com · ▲8
Think of HackerNews, but only for AI content. Did build this out of the wish for easier discoverability of new technologies in the AI/ML space. Obviously, so far only a tiny small community, but maybe a few of you find it nice to be around and want to post a link there every now and then :)
- LSLatent Signal - Curated feed for AI newsJan 2026 · latentsignal.fyi · ▲5
I kept losing track of what was happening in AI. It's scattered across Reddit, Discord, Twitter, arXiv, GitHub, Hugging Face. Things slip through constantly. So I built Latent Signal to consolidate it for myself. It's a curated feed for AI news. Right now it's just me, but the goal is for the community to help surface what matters. Covers LLMs, image gen, video, audio, 3D, world models, tooling, and more. The design is entirely inspired by Hacker News. Currently pulling from these sources: - Reddit - arXiv - Hugging Face - GitHub - Hacker News - Lobste.rs You can browse immediately without…
- HNHacker News AI2024 · hn.aidev.run · ▲8
Hi HN, I built an AI that can interact with the Hacker News API: https://hn.aidev.run You can ask questions like: - What on hackernews about AI? - What on hackernews about iPhone? - What's trending on hackernews? - What are users showing on hackernews? - What are users asking on hackernews? - Summarize this story: https://news.ycombinator.com/item?id=39156778 It uses function calling to query the HN api. To answer questions about a particular topic, it’ll search its knowledge base (a vector db that is periodically updated with the “top stories”) and get details about…
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 · 26d ago · cactuscompute.com
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com