
Web3Bids — Pay-to-Rank Crypto Leaderboard | Pay SOL to Claim #1
Web3Bids is a pay-to-rank leaderboard for crypto projects. Pay SOL to claim the #1 spot. Memecoins, launchpads, crypto services, and groups compete for the top position.
@web3bids · X
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Web3Bids is a pay-to-rank leaderboard for crypto projects. Pay SOL to claim the #1 spot. Memecoins, launchpads, crypto services, and groups compete for the top position.
@web3bids · X

We want namedrop.lol at #1 on Outbid.lol. So we built another leaderboard to pay for it. Bid for attention and help fund the $15,000 mission.
@foundergear · X

用AI创建个人资料网站,配备数字卡片和访客分析。
@niazjz · X
15 years of better *ways* to share your card. Nobody built *intelligence* around the exchange. We did. Auto-generated website + per-visitor heatmaps + session replay. Every scan becomes actionable data.

在 Cloudflare 上一键部署 OpenAI 兼容的 AI 端点。
mistakevin · HN
OpenAI-Compatible Cloudflare AI Endpoint Generator

通过仪表板查找 Facebook 潜在客户并自动化外展。
@Laertisparissis · X
automating facebook outreach

PRcade 通过团队排行榜和分析可视化GitHub代码审查性能
u/SnooStrawberries827 · Reddit
my team had 47 open PRs and nobody was reviewing them, so I gamified it our team hit 47 open PRs at one point last month and nobody was reviewing them. tried slack reminders, deadlines, rotating reviewers, none of it really stuck. might be related to the fact that everyone's hyped about how fast AI can write code now, copilot cranking out entire features in hours, but none of that matters if the PR just sits there for a week. feels like writing code stopped being the bottleneck a while back

上传数据集自动发现具有统计意义的相关性和因果关系。
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

连接您的 Gmail 账户,自动化发送电子邮件并跟踪打开率和点击率。
@KenziChenBuilds · X
Hey! Developer behind Always looking for feedback to make it better.

搜索600M+财务数据点,包括基础面、申报和转录稿,覆盖2900多家公司。
u/SnowSilent7695 · Reddit
Got my first 60 signups through Reddit and want to continue the momentum I've gotten my first 60 signups through Reddit over two months and feel like I have a good thing going. I'm positioning my app as the Bloomberg Terminal for Everyday Investors where you can search over 600M+ financial datapoints in Claude, ChatGPT, or with your own AI Agent at an affordable price. There are other competitors trying to do something similar, but to my knowledge, they seem to be focused on specific us

Run cold email campaigns, automate follow-ups, manage replies, and track what converts from Gmail, SMTP, or the sending provider you already use.
@Yanis_Djabali · X
The complete outbound platform, go try it free

为开发者和AI代理提供永久Webhook端点和即时HTTPS隧道。
@BinaryScriptar · X
Introducing OtterKit. Always-on webhook endpoints and instant tunnels, built for developers and their AI agents. It started with a problem I kept hitting: every time my coding agent needed to test a Stripe or GitHub webhook, it had to open a tunnel. What OtterKit does • Permanent webhook URLs that answer senders 24/7 with the status, body and headers you choose, verify signatures on arrival (Stripe, GitHub, Shopify, Slack and 12 more), store full history, and forward matching events to your app, signed and retried • Instant HTTPS tunnels to any local port in one command, stable subdomains, auto stop, basic auth • Replay any captured request, edit the payload, re sign it, fire it at your local handler • Pulses: scheduled HTTP calls and dead man's switches with email alerts • Payload drift detection: baseline the JSON shape per event type, get emailed when a provider changes it • Custom domains ( and an email inbox on the same endpoint • A

在OpenVibeEval中对比不同AI模型生成前端代码和可访问性评分。
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •