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61 projects


A branching novel written collaboratively by people's AIs, with weekly canon chapters.
@embayllc · X

Roast your website's SEO and speed in 10 seconds. Free audit checks Core Web Vitals, technical SEO, and security, then explains every fix in plain English. The brutally honest Page
@vladislavgeras · X

Write code and visualize its runtime execution as an interactive graph.
@neon_time · X

UK financial tool for tracking ISAs, SIPPs, LISAs, net worth and your path to financial independence.
@phil_techuk · X

@solopribuilds https://t.co/KIq3TZFnPv I'm vibe coding thermodynamic computing. So far I have llama running in sim replacing traditional softmax with boltzmann distribution samplin
@paul_s_1738 · X
I'm vibe coding thermodynamic computing. So far I have llama running in sim replacing traditional softmax with boltzmann distribution sampling across a p-bit array. Im building a local research ecosystem too using qwen.

Monitor AI costs by feature, forecast spending, and set guardrails for your team.
@eastbase_studio · X

Optimize electricity spending by connecting utilities, EVs, and solar to find ideal charging times.
@gleam_energy · X
Gleam — an energy management tool that helps people understand, optimize, and save on electricity. Utility data, EVs, solar, batteries, and weather combine to answer questions like "Why did my bill go up?" or "Would switching rate plans save money?"

Converts raw thoughts and insights into polished LinkedIn posts for solo founders.
@maheshppai2004 · X
Dispatch : A tool for solo founders that converts raw insights to audience ready linkedin posts

Log fuel fill-ups to track your consumption and spending patterns.
@GururajCC · X
The first version was honestly built just because we wanted to answer one question: "Is my vehicle actually becoming more expensive to run?" Turns out the answer is much easier when you have the data. Link:

Benchmark local coding models on consumer hardware to measure accuracy, latency, and throughput across 27 tasks.
u/Unfair_Association89 · Reddit
I built a reproducible benchmark for local coding models (Ollama, 27 tasks, live leaderboard) ran it on my 8GB card, here's what I found I kept eyeballing "vibes" to decide whether one quant of a coding model was actually better than another on my machine, so I built Sakura to get real numbers instead. What it does: - Points at any Ollama model and runs it through 27 hand-curated tasks: codegen, bugfix, SQL, refactor, systems design, protocol implementation, and terminal-agent episode
