frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•1m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•1m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
1•tosh•7m ago•0 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
1•onurkanbkrc•7m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•8m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•11m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•14m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•14m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•14m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•14m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
3•juujian•16m ago•1 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•18m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•20m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•22m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•23m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•23m ago•1 comments

The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•26m ago•0 comments

Show HN: I'm 75, building an OSS Virtual Protest Protocol for digital activism

https://github.com/voice-of-japan/Virtual-Protest-Protocol/blob/main/README.md
5•sakanakana00•29m ago•1 comments

Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
3•pieterdy•31m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
3•Tehnix•32m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•33m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
4•Nive11•34m ago•6 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
2•hunglee2•37m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
3•chartscout•40m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
3•AlexeyBrin•43m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
2•machielrey•44m ago•1 comments

Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
3•tablets•49m ago•1 comments

They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
2•breve•51m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•53m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•53m ago•0 comments
Open in hackernews

Show HN: I built an AI tool that generates click-worthy YouTube thumbnails

https://thumbnailx.com/
5•gits997•8mo ago
Hey HN! Software engineer here. As an amateur youtuber, I've been struggling with thumbnails, especially since I don't have any design or editing skills.

Decided to give it a try and make my own automatic thumbnail generator. Me being an ADHD person, made sure that there's no parameter tuning and shape choosing and fuss like that, just simply give prompt and generate thumbnail.

Increased my CTR from 1.2% to 2.3% (faceless fantasy books niche on youtube)

Thumbnail X (completely free for now) - https://thumbnailx.com/

Just wanna add that this is by no means a perfect thumbnail maker for huge YouTube moguls with millions of subscribers but I'm sure it's gonna be extremely helpful for beginner youtubers and medium size channels struggling with thumbnails.

Tools used: 1. Cursor for development (shoutout to claude oppus 4.0) 2. Few image generators (primarily ideogram, but leonardo ai, deep ai and gpt 4o as fallbacks) 3. Few llms (chatgpt, claude, gemini for validating images and prompt enhancement) 4. AWS and Redis for storage & caching 5. Digital ocean for hosting and db 6. Python

Comments

nbbaier•8mo ago
The example you give is very clearly AI generated. Has there been any work done on how different such thumbnails behave vs. clearly non-AI thumbnails?
gits997•8mo ago
Thanks for the comment. Appreciate the interest.

I did the experiment for my fantasy youtube channel (https://www.youtube.com/@AIBookBytes) and CTR increased from 1.2% to 2% which for me was a huge deal.

This is probably not the tool for super high subscriber youtube channels but from amateurs to mid size youtube channels could be very helpful. Obviousy it is clear that it's AI generated by many channels use that and still are successful. As long as expressions are clear and text is bold and visible, should be good.

eth_hack77•8mo ago
Sounds interesting! Do you train your image model / customized existing one or what is the source for the thumbnail images?
gits997•8mo ago
No, I use existing model(s) as a base along with LLMs to: 1. enhance the prompt and add technical details that are important for high quality thumbnails (e.g. high contrast image) 2. validate the generated images and choose the best one.