开发者工具1 week ago
Kitbase — Product Analytics & Event Tracking
用 Kitbase 跟踪事件、了解用户，快速发布产品。
@kitbasedev · X
We just launched, check us out at
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用 Kitbase 跟踪事件、了解用户，快速发布产品。
@kitbasedev · X
We just launched, check us out at
用弓箭狩猎目标的街机游戏。
@spt4d · X
Deployed the 16 games built with Codex and GameBlocks. A few examples: Most of my time is actually spent shaping the player experience. Many ideas emerge through playing and exploration rather than from the initial design — the loop seems to be build → play → discover → improve. Is it possible to build an agent harness that supports this discovery loop — not just one that optimizes against a predefined spec? Full game list:
通过自动提醒和AI协商收回逾期发票。
@petkosokol · X
创建精美的 screenshots 和 progress cards，准备好与您的受众分享。
@shreyassihasane · X
为小团队追踪工时、管理工作和创建发票。
@sakibhasandev · X
Here's mine :)
Keel 为中小企业提供合规管理平台，快速通过 SOC 2、ISO 27001 等审计。
@KeelGRC · X
just launched this week. It’s an SMB-friendly GRC and compliance application.
Mac & Windows 屏幕录制工具，支持点击自动缩放、渐变背景和摄像头叠加。
@zuess05 · X
Shipped some banger updates to
提交Suno歌曲，参加周赛盲听投票，爬升排行榜。
u/Drewbezy · Reddit
I built a weekly song competition platform for Suno AI creators — Track Arena Hey r/SideProject ! I've been building a web app called Track Arena and wanted to share it here for feedback. The idea: a weekly competition platform specifically for Suno AI-generated songs. Anyone can submit their Suno track, the community listens and votes, and the leaderboard updates in real time. Each week resets with a new round. Built it with Lovable (no-code/AI builder) and it's fully live: https://t
监控pump.fun币种，识别诈骗钱包和拉地毯风险，提供链上证据。
@ha_li60704 · X
他的技术力量确实很强 解决了很多我想解决而没解决的问题 大家可以试试网站： 查询速度非常快，而且可用信息占比极高 可以说已经是成熟的打狗神器了 我分析了他的数据源，他自己做了一个庞大的数据库，有一个订阅源 这不是开玩笑的东西，这是真技术，很久没见过的真东西 J5ZognFJEepsWsCQPmqVchvEvsUMomEkxd8LbMrH2J7
用对抗测试检查LLM端点安全，获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams
将汽车视频和音乐上传至Machcut，自动生成节拍同步的竖屏编辑。
u/Jonathanproductions · Reddit
We built a tool that automatically edits car videos to phonk beats... here's what it makes We've been building MACHCUT for the past few months. Drop in raw car footage and a phonk track and it produces a beat-synchronized vertical edit automatically. Python engine, not generative AI. Your real footage, automated cutting. The engine runs on A100 GPUs, uses YOLO to pick the best clips from your footage, locks cuts to the beat drop, and outputs vertical 1080p or 4K in about 6 min
