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Thoughts on LLMs

https://finestructure.co/blog/2026/2/6/thoughts-on-llms
1•interpol_p•1m ago•0 comments

China's rare earth steel is transforming infrastructure [video]

https://www.youtube.com/watch?v=DfNN1Es02hI
1•zeristor•2m ago•0 comments

Show HN: CodeMic

https://codemic.io/#hn
1•seansh•2m ago•0 comments

How to build a hero section that gets you a chance

https://www.indiehackers.com/post/how-to-build-a-hero-section-that-actually-gets-you-a-chance-bff...
1•allinonetools_•3m ago•0 comments

Framework 13 Initial Impressions

https://www.abgn.me/posts/frame-work-13-initial-impressions
1•albingroen•3m ago•0 comments

Show HN: Peekr – An anonymous "Truth or Dare" game built with MERN

https://peekr-black.vercel.app/
1•peekrtrue•5m ago•1 comments

Casplist.eu

https://casplist.eu
1•PhilipV•12m ago•1 comments

OpenAI exec becomes top Trump donor with $25M gift

https://finance.yahoo.com/news/openai-exec-becomes-top-trump-230342268.html
2•doener•13m ago•0 comments

(AI) Slop Terrifies Me

https://ezhik.jp/ai-slop-terrifies-me/
1•Ezhik•13m ago•0 comments

Anthropic's team cut ad creation time from 30 minutes to 30 seconds

https://claude.com/blog/how-anthropic-uses-claude-marketing
1•Brajeshwar•21m ago•0 comments

Show HN: Elysia JIT "Compiler", why it's one of the fastest JavaScript framework

https://elysiajs.com/internal/jit-compiler
1•saltyaom•22m ago•0 comments

Cache Monet

https://cachemonet.com
1•keepamovin•23m ago•0 comments

Chinese Propaganda in Infomaniak's Euria, and a Reflection on Open Source AI

https://gagliardoni.net/#20260208_euria
1•tomgag•23m ago•1 comments

Show HN: A free, browser-only PDF tools collection built with Kimi k2.5

https://pdfuck.com
2•Justin3go•26m ago•0 comments

Curating a Show on My Ineffable Mother, Ursula K. Le Guin

https://hyperallergic.com/curating-a-show-on-my-ineffable-mother-ursula-k-le-guin/
2•bryanrasmussen•32m ago•0 comments

Show HN: HackerStack.dev – 49 Curated AI Tools for Indie Hackers

https://hackerstack.dev
1•pascalicchio•39m ago•0 comments

Pensions Are a Ponzi Scheme

https://poddley.com/?searchParams=segmentIds=b53ff41f-25c9-4f35-98d6-36616757d35b
1•onesandofgrain•45m ago•9 comments

Divvy.club – Splitwise alternative that makes sense

https://divvy.club
1•filepod•46m ago•0 comments

Betterment data breach exposes 1.4M customers

https://www.americanbanker.com/news/1-4-million-data-breach-betterment-shinyhunters-salesforce
1•NewCzech•46m ago•0 comments

MIT Technology Review has confirmed that posts on Moltbook were fake

https://www.technologyreview.com/2026/02/06/1132448/moltbook-was-peak-ai-theater/
2•helloplanets•46m ago•0 comments

Epstein Science: the people Epstein discussed scientific topics with

https://edge.dog/templates/cml9p8slu0009gdj2p0l8xf4r
2•castalian•46m ago•0 comments

Bambuddy – a free, self-hosted management system for Bambu Lab printers

https://bambuddy.cool
3•maziggy•51m ago•1 comments

Every Failed M4 Gun Replacement Attempt

https://www.youtube.com/watch?v=jrnAU67_EWg
3•tomaytotomato•51m ago•1 comments

China ramps up energy boom flagged by Musk as key to AI race

https://techxplore.com/news/2026-02-china-ramps-energy-boom-flagged.html
2•myk-e•52m ago•0 comments

Show HN: ClawBox – Dedicated OpenClaw Hardware (Jetson Orin Nano, 67 Tops, 20W)

https://openclawhardware.dev
2•superactro•54m ago•0 comments

Ask HN: AI never gets flustered, will that make us better as people or worse?

1•keepamovin•55m ago•0 comments

Show HN: HalalCodeCheck – Verify food ingredients offline

https://halalcodecheck.com/
3•pythonbase•57m ago•0 comments

Student makes cosmic dust in a lab, shining a light on the origin of life

https://www.cnn.com/2026/02/06/science/cosmic-dust-discovery-life-beginnings
1•Brajeshwar•1h ago•0 comments

In the Australian outback, we're listening for nuclear tests

https://www.abc.net.au/news/2026-02-08/australian-outback-nuclear-tests-listening-warramunga-faci...
7•defrost•1h ago•1 comments

'Hermès orange' iPhone sparks Apple comeback in China

https://www.ft.com/content/e2d78d04-7368-4b0c-abd5-591c03774c46
1•Brajeshwar•1h ago•0 comments
Open in hackernews

I analyzed 10k LinkedIn posts to understand what drives engagement

https://www.hyperclapper.com
1•neerajnegi1003•1mo ago

Comments

neerajnegi1003•1mo ago
After spending way too much time manually engaging on LinkedIn to grow my startup's presence, I got curious: what actually works? The Problem Most devs and founders hate LinkedIn's engagement game. You post something technical or meaningful, get 3 likes from bots, while someone posting "5 lessons from my cat about product management " gets 10,000 impressions. But here's what the data actually showed after analyzing top-performing posts: Timing matters more than we think:

Posts between 7-9 AM and 5-7 PM (local time) get 3x more initial engagement The first 60 minutes are critical for algorithmic distribution Early engagement signals quality to LinkedIn's feed algorithm

The cold start problem is real:

Without initial engagement, even great content dies in obscurity LinkedIn's algorithm uses the first 10-20 interactions to determine if your post is "worthy" Most technical posts never escape this cold start because our networks are small

What I Built I created Hyperclapper - a simple tool that helps you coordinate genuine engagement within your network. Not bots, not fake engagement, just helping real people find and support each other's content. How it works:

Connect your LinkedIn (read-only OAuth) Join engagement pods with people in similar industries Get notified when someone posts (you choose how often) Engage authentically with content you actually find valuable

Why this isn't spammy:

You control what you engage with - no forced likes All engagement is from real accounts You're helping surface good content that would otherwise be buried Think of it as a RSS feed for your network's best content

The Results After 3 months of testing with 500 beta users:

Average post impressions increased 4.2x Meaningful comments (not just "Great post!") up 6x Several users got inbound leads directly from increased visibility

The trickiest part was building the engagement pod matching algorithm. We use a combination of:

Industry tags Posting frequency compatibility Historical engagement patterns Mutual connection depth

Why I'm Sharing This LinkedIn engagement is a grind, especially for technical folks who just want to share knowledge. This tool helps solve the cold start problem without resorting to engagement bait or algorithmic hacks.

I'm launching the beta publicly this week. Would love feedback from the HN community since you folks are typically skeptical of social media growth tools (rightfully so).

Try it: hyperclapper.com

Genuine question for HN: How do you balance the need for visibility with the distaste for "engagement optimization"? Is there a way to play the game without losing your soul?