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Show HN: m6502, a 6502 CPU for FPGAs and Tiny Tapeout
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Show HN: m6502, a 6502 CPU for FPGAs and Tiny Tapeout

Hey HN, Recently built an Apple II emulator and at the same time was getting into Tiny Tapeout and decided it would be cool to build a cycle-accurate 6502 CPU and an MCU for it. It's cycle accurate and the core itself should be 100% compatible with a stock MOS 6502 (would need to still test this though!). Tested on some FPGAs (fomu, ulx3s) and works great, hoping to get it taped out in the upcoming IHP26a shuttle. Also as part of the project I built a bus multiplexer to allow memory/bus access f

Show HN: Mersel AI – we make websites readable by ChatGPT/Perplexity (GEO)
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Show HN: Mersel AI – we make websites readable by ChatGPT/Perplexity (GEO)

Three months ago I posted a batch AI image tool here. I pivoted after noticing something odd with ecommerce clients. AI agents were visiting their sites but not citing them. The reason is structural. LLMs parse raw HTML and often skip JavaScript-rendered content. Reviews inside Yotpo or Judge.me widgets? Invisible. Product data buried in React? Frequently misread or skipped. So you can rank well on Google and still barely exist in AI answers. A few numbers that changed my view: 80% of URLs cited

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Show HN: TerminalRant – Mastodon for developers who live in the terminal
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Show HN: TerminalRant – Mastodon for developers who live in the terminal

Hi HN, I kept noticing something slightly ironic: a lot of developers live in their terminal, coding, running tests, pushing commits and then open a browser just to post a rant. That context switch felt unnecessary. So I built TerminalRant, a Mastodon client designed for people who prefer staying in the terminal. It’s written in Go (using Bubble Tea) and focuses on being keyboard-first: fast startup, vim-style navigation, inline editing, and buffer-mode posting through $EDITOR. No mouse required

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Show HN: Verified 16.7M Mac chip architecture on $60 Android phone
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Show HN: Verified 16.7M Mac chip architecture on $60 Android phone

Over 6 weeks I built and verified a complete chip architecture on a $60 Android phone using Termux, iverilog, and Yosys. Phoenix 4096×4096 specs: - 16,777,216 MAC units (analog in-memory compute) - 50,331 TOPS @ 3GHz (25× NVIDIA H100) - 512 deterministic reasoning cores - 2 TB/s memory bandwidth - All verified in simulation Hardware verified (15/15 passing): - Half Adder → Full Adder → 8/16/64/128/256-bit ALUs - 8-bit CPU (Fibonacci working) - RISC-V core - FPU (IEEE 754) - GPU SIMD - Complete P

Show HN: AI pentester – verified exploits, $999/assessment
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Show HN: AI pentester – verified exploits, $999/assessment

I spent 20 years in security, most recently leading 100+ engineers at AWS building pentesting infrastructure across thousands of services. The same problem everywhere: pentests take weeks, cost $15-50k, and the results are stale before they ship. I built Cipher to fix that. It's an AI agent that reasons like an attacker — maps the target, finds vulnerabilities, chains them into exploits, and proves they're real. Every finding ships with a reproducible Python script. If the script doesn't break y

Show HN: Rot – Financial Intelligence MCP Server
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Show HN: Rot – Financial Intelligence MCP Server

Built an MCP server that turns Reddit sentiment into options signals. 185k LOC, 9-stage AI pipeline, now live with 90 users on just day 1. Wall Street pays millions for retail sentiment data. It's free on Reddit. I realized: instead of another dashboard, just expose it as an MCP tool. Users ask Claude "what's unusual in options right now" and get structured signals instantly. Results: 9,000 GitHub clones in 5 days, 52% win rate on 50 live trades (backtest was 58.8% on 129 trades—classic overfitt

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