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@inboxedcom · X
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批量退订邮件清理 Gmail 或 Outlook 收件箱
@inboxedcom · X
在Robinhood链上交易SpaceX股票代币，自动积累资金库并减少供应。
@Stock_Works · X
We built the SpaceX stock token accumulation engine A true RWA flywheel that can only exist on Robinhood chain The treasury nearly owns 200 $SPCX stock tokens. With 5 ETH still liquid. Find me another platform doing this?
为自由职业者打造的客户门户，在一个地方收集客户简介、文件和反馈。
@DropKlient · X
The only website freelancers need to manage their work.
Weltomat - 为旅行者和数字游民设计的多币种支出和预算工具。
@andrejbuday · X
And th second one - - with completely new OG:image
监控 AI 和 LLM 应用程序的模型调用、代币追踪、成本分析和延迟指标。
ephraimduncan · HN
Observability for Coding Agents and LLM Applications
在本地处理数据来屏蔽个人信息，降低发送到Claude、ChatGPT等API的token成本。
@AI_303030 · X
根据AI代币获取应用开发成本估计和可视化构建计划。
u/Ejboustany · Reddit
Knowing your build cost from a tokens formula The bigger the feature you are building, the more tokens you spend and how you can calculate the total cost of your build. You will also spend even more tokens making that feature proper and production ready. Say you want users to sign up, log in, verify their email and reset a forgotten password. Built properly it runs around 400,000 tokens. The formula I thought of is: tokens x $1,500 / 1,000,000 = price So those 400,000 tokens come ou
Memecoin arena: bid SOL or USDC from Phantom to rank your token.
@PasthiDev · X
memecoin version of outbid! ahahah
通过推送通知和邮件自动重新吸引不活跃的应用用户。
@thepublicdev · X
Helps indie builders retain users through targeted strategic messaging
bul.fun 是一个代币启动平台，所有代币都与真实资产交易。
@0x_why85 · X
RT @buldotfun: $BUL is live. 🐂 0xA4Ba25e58D9B9496f2A0eE22983c6394b95A9ebA is a new launchpad on HyperEVM where tok…
nock：在Robinhood Chain上快速创建并交易代币
@nockwtf · X
No need to wait hours for vibe coded slop when you can already launch and trade on
Traks 是自托管的网络分析平台，运行在 Cloudflare 上，无 cookies 无跟踪。
@BinaryScriptar · X
Introducing Traks - free, self-hosted web analytics that runs entirely in your own Cloudflare account. 🚀 It started as a side project. When Cloudflare launched R2 SQL, I wanted to see whether a complete analytics stack could run on their data platform alone: ingest events through Pipelines, land them in R2 as Parquet, and query them straight with SQL. No warehouse, no ETL, no servers to patch, just my personal projects as the first test bed. It worked better than i expected, so I kept adding new features. A few weeks later it's a complete product. What Traks does • Real-time dashboard: visitors, pageviews, bounce rate, visit duration - every metric compared with the period before • Pages, referrers, UTM campaigns, and an AI tab that shows which assistant (ChatGPT, Claude, Perplexity…) sent the visitor • Locations and devices, resolved at the edge without storing IPs • Custom events, goals (incl. path-prefix goals), funnels, saved segments, workspaces & teams • A