Forwarded from Hacker News
Show HN: Learn by rebuilding Redis, Git, a database from scratch (Score: 153+ in 16 hours)
Link: https://readhacker.news/s/6YibP
Comments: https://readhacker.news/c/6YibP
Link: https://readhacker.news/s/6YibP
Comments: https://readhacker.news/c/6YibP
Ship That Code
Ship That Code — Build Real Systems, Not Tutorials
Learn programming by building real systems from scratch. Redis, Git, a database, a compiler — every lesson is choose, write, run.
Forwarded from Hacker News
How to Read More Books (🔥 Score: 152+ in 3 hours)
Link: https://readhacker.news/s/6YmpS
Comments: https://readhacker.news/c/6YmpS
Link: https://readhacker.news/s/6YmpS
Comments: https://readhacker.news/c/6YmpS
scotto.me
How to read more books | scotto.me
My method for reading more
Forwarded from Programmer ♨️
Obsidian Mind is a new tool that creates a persistent, infinite context for AI models like Claude Code, Codex CLI, Gemini, and others.
It saves all information between sessions so models don’t need to be re-primed every time, saving tokens and effort.
This tool helps AI agents maintain continuous memory and context across sessions, improving workflow and reducing repeated setup.
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Why Go is an Ideal Language for AI-Assisted Software Engineering - Google Developers Blog
https://developers.googleblog.com/why-go-is-an-ideal-language-for-ai-assisted-software-engineering/
https://developers.googleblog.com/why-go-is-an-ideal-language-for-ai-assisted-software-engineering/
Googleblog
Google for Developers Blog - News about Web, Mobile, AI and Cloud
As AI shifts software engineering from writing to reviewing, discover how Go's strict compiler and unified toolchain ensure reliable AI-generated code.
The “mechanical miracle” that ruined Mark Twain’s life (❄️ Score: 152+ in 5 days)
Link: https://readhacker.news/s/725KE
Comments: https://readhacker.news/c/725KE
Link: https://readhacker.news/s/725KE
Comments: https://readhacker.news/c/725KE
Substack
The "mechanical miracle" that ruined Mark Twain's life
Learning from the automation dreams of the first Machine Age
Git-knife – Edit commit messages, authors, and dates like a spreadsheet
https://github.com/TheRealYT/git-knife
https://github.com/TheRealYT/git-knife
GitHub
GitHub - TheRealYT/git-knife
Contribute to TheRealYT/git-knife development by creating an account on GitHub.
Forwarded from The Accel
Do not confuse activity with progress
A product that solved a problem six months ago may no longer be needed. Markets change. Customer behaviour changes. Yet founders keep adding features, changing packaging, adjusting prices. They improve the solution — but the problem has already shifted.
McKinsey found that companies analysing customer behaviour grow 85% faster. Those listening only to words, not actions, fall behind. Customers say one thing and do another. In surveys they want innovation. In reality they buy reliability.
Founders fall in love with their idea and stop noticing the market has moved. They add features when customers need clarity. They add complexity when customers want simplicity. They solve the old problem while thinking they are solving the new one.
How to avoid this mistake. Once a quarter, ask yourself one question: "What problem are we solving today?" Not "what problem did we solve a year ago." Look at the data: what are people buying, abandoning, recommending? Find the gap between words and actions. If it exists — the problem is not the solution, but the question.
A mistake even successful founders repeat: confusing activity with progress.
The paradox is that the market may validate an idea once, but demand something different later. The question is how often you revisit your current focus.
#learnfromothersmistakes ⚠️
Other insights — t.me/theaccel
A product that solved a problem six months ago may no longer be needed. Markets change. Customer behaviour changes. Yet founders keep adding features, changing packaging, adjusting prices. They improve the solution — but the problem has already shifted.
McKinsey found that companies analysing customer behaviour grow 85% faster. Those listening only to words, not actions, fall behind. Customers say one thing and do another. In surveys they want innovation. In reality they buy reliability.
Founders fall in love with their idea and stop noticing the market has moved. They add features when customers need clarity. They add complexity when customers want simplicity. They solve the old problem while thinking they are solving the new one.
How to avoid this mistake. Once a quarter, ask yourself one question: "What problem are we solving today?" Not "what problem did we solve a year ago." Look at the data: what are people buying, abandoning, recommending? Find the gap between words and actions. If it exists — the problem is not the solution, but the question.
A mistake even successful founders repeat: confusing activity with progress.
The paradox is that the market may validate an idea once, but demand something different later. The question is how often you revisit your current focus.
#learnfromothersmistakes ⚠️
Other insights — t.me/theaccel
Forwarded from Programmer ♨️
FreeLLM is a new aggregator that shows up-to-date free quotas, card requirements, phone verification, and availability status for hundreds of AI models.
This tool helps you find and use free AI services without hunting for details across the web.
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Hey guys am am bruk a golang dev and system architect. I opend this channel to share about my interests: tech, system design, devops, cyber security, ai, memes and everything else 😁
Join and share to get the latest mix of beyeaynet 🥗
@buracodes
Join and share to get the latest mix of beyeaynet 🥗
@buracodes
Does anyone run Postgres without PgBouncer? — brandur.org
https://brandur.org/fragments/postgres-without-pgbouncer
https://brandur.org/fragments/postgres-without-pgbouncer
brandur.org
Does anyone run Postgres without PgBouncer?
Almost every notable managed Postgres provider bundles a connection pooler, giving us a strong hint that connection management is a product problem rather than a user problem.
Apple macOS Screen Sharing Flaw Exploited on Internet-Exposed Macs to Install Monero Miner
https://thehackernews.com/2026/08/apple-macos-screen-sharing-flaw.html?m=1
https://thehackernews.com/2026/08/apple-macos-screen-sharing-flaw.html?m=1
Forwarded from Alpha Labs
Soo, I run a scooter rental business. Every rental starts with checking the customer's Fayda ID and typing their details into our system by hand. Slow, and full of typos.
The proper fix is the Fayda API. We tried. The bureaucracy defeated us before we ever got a key.
Then I realized the card already carries everything: the QR on the back holds the holder's name, gender, FAN, date of birth, face photo, and NIDP's digital signature.
So I built the missing piece and open sourced it.
fayda-decoder turns that QR into clean JSON from a simple photo of the card. It even verifies NIDP's cryptographic signature, so printed fakes fail instantly.
100% on-device, browser or Node. Nothing is uploaded anywhere.
Reads blurry, dark, photos that normal QR scanners reject. Decodes in under 100 ms.
No API key, no approval process, no permission needed.
👉 Live demo: https://fayda-decoder.alphalabshq.com
👉 GitHub: https://github.com/Alpha-Mintamir/fayda-decoder (star the repo⭐️ 🫶 )
The proper fix is the Fayda API. We tried. The bureaucracy defeated us before we ever got a key.
Then I realized the card already carries everything: the QR on the back holds the holder's name, gender, FAN, date of birth, face photo, and NIDP's digital signature.
So I built the missing piece and open sourced it.
fayda-decoder turns that QR into clean JSON from a simple photo of the card. It even verifies NIDP's cryptographic signature, so printed fakes fail instantly.
100% on-device, browser or Node. Nothing is uploaded anywhere.
Reads blurry, dark, photos that normal QR scanners reject. Decodes in under 100 ms.
No API key, no approval process, no permission needed.
npm install fayda-decoder
👉 Live demo: https://fayda-decoder.alphalabshq.com
👉 GitHub: https://github.com/Alpha-Mintamir/fayda-decoder (star the repo
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