@kitbasedev · X

We just launched, check us out at

@Supportpintutec · X

Just launched QuickTools — 8 free online tools 🛠️ Word Counter • JSON Formatter • Password Generator • Color Picker 100% browser-based, no signup 🔗 #SideProject #WebDev #FreeTools #BuildInPublic

u/hyperschlauer · Reddit

I built a free knowledge-graph game where every move follows a real Wikidata relationship I’m building Webwoven for OpenAI Build Week, and the beta is now live: https://www.webwoven.org It’s inspired by Wikipedia hopping: you start with one topic and try to reach a target in as few moves as possible. Every move follows a real relationship from a reviewed Wikidata graph. The game therefore shows why two topics are connected instead of treating ordinary page links as paths. Webwoven curr

@546_md · X

I recently launched CodeToolsStudio, a collection of privacy-first developer tools for things like JSON, JWT, Regex, Base64, timestamps and more. you can test it here: 🌐 I'd genuinely appreciate feedback on what you'd improve or add to it

@adib_011 · X

Built RepoLens at the Codex Meetup, an evidence-first JS/TS code review tool that shows reviewers where to look, without executing repository code. Built with Codex + GPT‑5.6. Try it: Demo: @OpenAIDevs @mitul_shahriyar #CodexMeetup

chenglong-hn · HN

Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple

u/freestyle_gonzo · Reddit

Vibe coding made building fast. It didn't make understanding easy. Something changed in the last year. Vibe coding (or agentic engineering if you ask some) made writing an app fast. Week-to-weekend fast. More people are building software than ever before, and I think that's a genuinely good thing. But fast building creates a new bottleneck. Writing code is no longer the hard part. Understanding what you built and its nuances is. A huge share of people shipping right now have never analyzed

@SamEkeNnamdi · X

@zacxbt · X

my current apps: • j******** (redacted) • @irigenerative (my first nft) • non-crypto saas app • penis game • blockrunner (my endless runner iOS app posted a vid a week ago) • petwidge (per iOS app) • nftwidge (nft gallery iOS app) • (pretty charts) • @perpspet (3d gamified perps) • (gamified bridge) • crypto twitter social app (don’t want to spoil the details) • portfolio pet game where the character is your portfolio, you feed him coins and he grows/evolves • (first app i ever vibe coded in dec) • onchain jam (nba jam 2v2 game but each team is a chain ex: base team = brian + jesse) • waffle world (3d waffle platformer lol) - 3d social trenches game

@Sparsh209 · X

Hi isha! Check it out here at: Would love to hear your feedbacks

@StuSim · X

hey Adam, I run , lightweight agent memory

@NaimBiswas11 · X

Developers work with different data formats every day — JSON, CSV, XML, YAML, and Excel files are everywhere. But finding a simple, fast, and privacy-friendly way to convert and process these formats is not always easy.