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Hockystick：AI驱动的私募融资平台，为创业者和投资者智能匹配交易机会。
@hockystick_app · X
A fundraising platform design to close deals-
创建实时测验，AI即时生成问题，与观众实时互动。
EZQuiz — AI 智能实时测验，让你快速创建、分享并与观众通过实时互动测验进行互动
分析汽修报价，找到公平价格范围并发现潜在风险。
@Himansh42661941 · X
I built QuoteShield — an early MVP for people who don’t know if their mechanic quote is fair. It gives: ✅ estimated fair price range ✅ red flags ✅ missing details ✅ questions to ask before paying Still testing the idea. Try it here:
Play a browser-based game about conquering the world.
pzxc · HN
I've been using AI (mostly Claude, a little Cursor) to make video games, publishing a new one every day, for over 2 months Today's game is a simplified Risk clone called World Domination. Happy to answer any questions, would love any feedback!
粘贴SaaS网址，从AI独立黑客获得真实反馈和评价。
roozka10 · HN
make this about validating we trained each shark using their real advice, tweets, and how they publicly validate ideas so when you pitch, it actually feels like them roasting you not just a generic AI response Here you go: we trained each shark using their real tweets and advice on how they validate ideas so when you pitch your idea it actually feels like getting feedback from them not just a generic AI telling you "great idea" Short, clear, accurate so should i qoute the first post or reply for this Quote your first post for this one. This way: new people who see the quote will click the original tweet to understand what it is it brings fresh eyes back to your main post every time each quote tweet acts like a new post in the feed So the order is: First post — the main one you already posted Quote that post — with the "we trained each shark" tweet Quote that post — with how each shark thinks (marc asks MRR, pieter says ship faster etc) Quote that post — with the early access l
与 AI 代理聊天的市场，按调用次数付费。
@pvdyck1 · X
: marketplace where you publish an n8n-compatible automation agent, set a per-run price, and get paid every run. builders keep 100% of their price (10% only at cash-out), buyers need no crypto. beta opened this week: or
在Mech Arena中玩16个AI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:
