@singhabhinav · X

u/TheChilledTribe · Reddit

My product bet: image prompt libraries are a workaround for a missing discovery layer There’s a strange workflow around AI images: People see an image they like, search for the prompt or ask the LLM to craft a prompt to reproduce the same style, paste it into another ChatGPT, and hope they can reproduce the result. That feels less like a creative tool and more like moving source code between text boxes. I’m building therightpic around a different product hypothesis: The gallery should

u/OrganicArgument2092 · Reddit

I shipped Lodekeep: portable memory for AI agents that follows you across Claude, Cursor, and ChatGPT Every new AI chat starts from zero. Claude, Cursor, ChatGPT all forget my stack, my decisions, the gotchas I already solved, so I kept re-pasting the same context every single session. I got sick of it and built Lodekeep. You capture a decision, preference, or lesson once, and it's recallable in every future session across every MCP client (Claude web + desktop, Claude Code, Cursor, Gemini

u/swamikrish · Reddit

Trying to make a career building website Built a résumé (resume) builder that generates 25 different template styles from one profile — free tier, no credit card. I got tired of retyping the same résumé into a different format every time I applied somewhere with a different template requirement, so I built DraftCareer. The core idea: fill in your career profile once, then render it into any of 25 templates (ATS-safe single-column ones and more visual two-column designs) without re-enter

u/shadowosa1 · Reddit

I rebuilt my landing page after 300+ visitors still didn’t understand what my app does. I’ve been building a spatial thinking environment called ThinkSpatial, and one of the hardest parts hasn’t been building the product. It’s been explaining what it is in the first few seconds. The basic idea is simple. You speak or type, and your thinking gets turned into a visual map instead of disappearing into a chat box, doc, or note-taking app. My first landing page was way too focused on showing h

Koimiao · V2EX

做了个小工具，可以从各个维度评估一个 GitHub 项目，想请大家拍砖 找开源项目时，我们常常会先看 Star 、README 和最近一次提交。如果你是独立开发者，正在维护自己的开源项目，也想知道怎么让自己项目更健康、被更多人看见，第一步该从哪里做起？ 所以最近我做了一个小项目：TrustOSS http://trustoss.org 输入一个 GitHub 仓库链接，TrustOSS 会把这些公开信号整理成一份可读的仓库健康报告：活跃度、维护情况、社区、文档与成熟度评分；也可以进一步查看漏洞、CI 、真实依赖者、维护者集中度和 Star 异常情况。 想要评估一个开源项目，或者维护自己的开源项目，想知道短板在哪里，都可以直接试试（是免费的！

@iaaaaan · X

Done. Theirs def looks vibe coded slop, mine doesn’t. End to end 4 days on and off for both iOS and web 😅 Pending App Store review

@cevin_q · X

仿照 Paybox 做了一个 connnector : ，已经集成了 solana 的基础的 swap 功能。 使用方法： 1. 登陆 ，绑定 solana 钱包 2. 获得 mcp 3. 在 ai agent （openai，claude,grok 等 绑定这个 connector 或者 Plugin。 4. 使用 mcpbuddy 中定义的功能。 图中在演示 openai 通过mcp connector 发起swap 。 到这个结果后， 用户直接点击 交易链接，就可以跳转到 mcpbuddy 完成签名，直接完成交易广播。 😂

@MarcoHergi · X

I wanted to join the Claude Code Meet Up in NYC and I didn’t got accepted 🤯. ⬇️ 🏗 Everything built with Claude Code: 💰 Products • Shift AI — • ShiftScore — • NUMEN — • JARVIS ($99 lifetime) — • LinkShield — • LUME Glasses — • Vibio — • MoneyTalk — • Bursary — 🤖 AI / Agents • AURUM — • Sterling (AI Operator) — • Agent OS — • SCOUT — • OpenBabel — • Jarvis Talk — • The Grove (OATH) — • Reflex (open source) — • RevOps Desk — 🗽 Personal / NYC • Bio — • Marco Web3 — • Tip NYC — •

@MarcoHergi · X

I wanted to join the Claude Code Meet Up in NYC and I didn’t got accepted 🤯. ⬇️ 🏗 Everything built with Claude Code: 💰 Products • Shift AI — • ShiftScore — • NUMEN — • JARVIS ($99 lifetime) — • LinkShield — • LUME Glasses — • Vibio — • MoneyTalk — • Bursary — 🤖 AI / Agents • AURUM — • Sterling (AI Operator) — • Agent OS — • SCOUT — • OpenBabel — • Jarvis Talk — • The Grove (OATH) — • Reflex (open source) — • RevOps Desk — 🗽 Personal / NYC • Bio — • Marco Web3 — • Tip NYC — •

@thepaulwakim · X

I've been building the companion creator platform for my podcast app @PodSipsApp . I built the creators platform for 2 reasons: 1. To help podcasters gather all of a show's data in one place. RSS downloads come through an RSS prefix server I built and all your stats from YouTube and Spotify. 2. To give that aggregate data to AI agents, whether that is Codex, Claude Code, Hermes, OpenClaw, or whatever else you use. The agent Skill file and API, and API docs on the platform work together to give your agent access to all your show's data in one place. It can answer questions about how the show is doing, build custom data visualizations, work those visualizations into a sponsorship deck, or do anything else you want done with your data. The API also surfaces anonymized summaries of what listeners are asking PodSips about while they listen to your episodes. You get to see which moments people wanted explained and which topics they wanted more of. Podcasters can sign

bronsik · Product Hunt

Bronsik Your AI checks in before the interview, not after