@solopribuilds · X

Day 29 of building in public I saw blowing up and thought: Why not build my own version? A few hours of vibe coding later, I launched: 🏆 Because shipping beats sitting on an idea. AI has made building easier than ever. The hard part now is distribution. How many alternatives are out there? Drop them in the comments 👇 I'll add a demo below.

@kelviakanban · X

AI agents are great at writing code. Remembering to update the task board? Less great. So we built Kelvia: a shared Kanban where Claude Code, Codex and Cursor can move tasks, comment and log time through MCP. You can also see exactly what they broke 😅

@ThisIsRajat24 · X

everyone replacing notion with a vibe coded version right now. i did mine off trello. taskflow, free for everyone, not a clone, actually better imo. cost me more than i'd like to admit and still giving it away free :)

u/AstronomerGreedy · Reddit

I got tired of juggling 4 different tools to run my freelance business, so I built one that does it all. I'm a freelancer, and for a couple of years my business ran on duct tape: one app for time tracking, another for invoicing, a separate e-sign tool for contracts, and a spreadsheet to check if I was actually making money that month. So over the past few months I built Workey (React + TypeScript + Supabase) — one dashboard for the whole "get paid" loop: - Time trackin

@StevenCen75554 · X

我们最新推出的 Product Hunt 上线了！ 专为电商团队而生，让你只需一句话，就能拥有一整支 AI 团队——写SEO Blog、做用户调研、优化Listing、生成AI短视频，全都不在话下。不用招人，不用在一堆工具间来回切换，只需要说出你想要什么。 专为想要「一个人打出一支团队的仗」的电商运营团队打造。 如果这个理念打动了你，今天的一个 upvote 对我们来说意义重大 🙏 #ProductHunt #BuildInPublic #AIAgents #IndieHackers

@foundergear · X

pampas · HN

Redactle LLM Leaderboard

@77auv7 · X

智能体最缺的不是算力，是底层安全。 @unicity_labs 社区版上线了，专为 AI Agent 打造的模块化 OS，走 Rust 微内核控制权限和成本，不用担心 Agent 乱跑。 尝鲜入口👇 #SphereQuests

crispyfish · V2EX

新型 Agent 斗蛐蛐: 一个支持 MCP 的编程农场游戏 ~~不用下载，点击即玩：~~ https://robofarm.1037.games 本意是想做一个给人类玩的编程游戏，但发现加入 Agent 支持后并没有削减他的乐趣，于是全量开放源代码、MCP 和各种文档，与群友小范围测试发现效果非常好，遂分享（ 游戏需要通过 Typescript 给无人机编程，使其可以自动化种植、浇灌、收割农作物，大概长这样：  单人模式下，游戏总共持续 500 个回合，每一回合由代码执行决定无人机需要做什么操作（种植，浇灌，etc. ），最终赚取的金钱作为总成绩计入排行榜。 由于地形、农作物属性、无人机操作对赚钱效率均有影响，因此需要一套复杂的决策机制，以取得更高的分数。 在这一点上，Agent 展现出非常强大的潜力；同时，在搜索最高效率方案时，不同 LLM / Harness 的能力也可以从中反映出来。~~目前测试中，Gemini 表现是

@Ranjith_Snifty · X

TargetMRR helps to reach your targeted MRR.

@OikosAutomation · X

@theamitnikhade · X