The full gallery
Tech stack
26 projects
Automate load testing for modern teams without complex setup or manual scripting.
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional
@suni_code https://t.co/OajI3lOKKW - Traffic Orchestration Platform
@KsaAZaks · X
- Traffic Orchestration Platform
Local-first cognitive runtime with live AST graphs, runs in your browser with no data sharing.
@fortsignal1 · X
Chrome extension that uses AI to organize YouTube videos into playlists.
@almalimir · X
– a @YouTube extension for organizing videos
Visualize and predict weather with on-device calculations and custom aggregation modes.
__mp · HN
I built my own weather prediction / visualization app: https://wx.rsp.li (on-device temperature lapsing, on device interpolation modes, user-selectable aggregations, etc…). One of these days I should do a writeup. I also asked Claude to build a photo gallery for me https://places.pascalspoerri.ch (HDR, map support, similar images)
Real-time TRON (TRX) yield strategy dashboard with annualized calculations and exit guidelines.
@Crypto77qi · X
我做了一个策略网站 @DeFi_JUST @WestCoast_God @78caicai @TenilleDashwood @OfficialSUNio @trondaoCN @usddio_cn #TRONDeFiSummer #TRONDeFiScientist
Analyze customer friction points and get optimization recommendations to improve e-commerce conversion rates.
@EnricoBoeker · X
Generate embeddable market sparklines for stocks, crypto, and indices via URL.
kahtaf · HN
Ticker-line.com – embeddable market sparkline SVGs
Monitor AI model calls, agent steps, and retrieval with token tracking, cost analysis, and latency metrics.
ephraimduncan · HN
Observability for Coding Agents and LLM Applications
Verify web UI animations are on-budget and reduced-motion-safe.
@Adolphi13543532 · X
An new technology for WebUi on scale, (lovable,base44,emergent…) who ever will get it first will be the 🤴🏽👇🏼
Automated backup and end-to-end encrypted disaster recovery for network device configurations.
Willdom1986 · V2EX
多年前考过 CCNP 网络工程师，以前有一个很头疼的地方就是网络设备配置丢失引发的各种故障。后来越发觉得，网络设备的配置实际上是一个非常关键的数字资产。 为此，我利用周末时间开发了 XConf ( https://xconf.ai) 来解决这个问题。 产品主要就是想解决两个问题：**自动化的灾备高可用**，以及**端到端的安全**。 * **自动备份与灾备**：支持将配置定时备份到云端。如果网络断连了，探针会自动在本地离线队列里暂存配置，等连接恢复后自动重传。 * **端到端加密**：本地的 Go 探针是完全开源的，会自动在内存中对密码进行流式脱敏，并在上传前通过 AES-256-GCM 在本地加密。SaaS 后台拿到的只有密文，解密和版本比对（ Diff ）都完全在你的浏览器本地沙盒里通过 WebCrypto API 进行。 * **打磨版的配置对比 Diff**：我花了一些功夫打磨了浏览器端的配置版本对比功能，力求让日常比对的交互体验足够丝滑。 * **AI 安全基线审查**：系统集成了 AI 辅助的安全基线审查，可以一键检查和分析配置中的潜在风险。 因为目前完全是我利用业余时间（主要在周末）维护，所以确实没精力提供工作日的在线即时客服。大家使用过程中遇到任何 Bug ，欢迎随时去 GitHub 提 Issue ，我会在周末集中修复和跟进。 目前公测已开放，不需要邀请码即可注册，欢迎大家体验吐槽。 探针 agent 开源地址： https://github.com/willdom-lee/xconf-agent 官方网站： https://xconf.ai
Take notes on YouTube videos to track ideas and understand viewer engagement for content creators.
u/Wolf-soul-site · Reddit
I cut the one feature every user asks for, because shipping it would've meant lying to them. I'm building Margin( https://margin.bhairav.ai ), a tool that helps YouTube creators decide what to make next. The #1 request is a number: "this idea will get ~40K views." Every competitor shows one. Users ask for it constantly. I won't build it. Nobody can predict a video's views from an idea. Thumbnail, timing, the algorithm, luck, none of it exists yet when you're validating. Any number I sho
