家电耗电量计算器 — 帮助用户分析家庭电器耗电情况，并使用 AI 给出省电建议

Formulas AI — 帮助用户生成 Excel 公式，基于 DeepSeek-V3 的 AI 工具产品（需要用户自己填入key）

@tonylexfi · X

@sreebuildss · X

@Ijon_k4 · X

cursor for calendars

u/ahmedk2002 · Reddit

I built a real-time LLM API pricing comparator — because I was tired of not knowing the actual cost difference between models I use LLMs daily at work and kept running into the same frustration: provider pricing pages give you raw numbers per million tokens, but no way to understand what that actually means for your specific use case. Is GPT-4o really that much more expensive than Claude Sonnet for 10k requests per day? What about DeepSeek vs Gemini Flash for high-volume summarization? I

@Amrutraj4 · X

I completely vibe coded website during Open AI build week hackathon. Planned using ChatGPT. Executed using Codex. Front end deployed using Vercel Backend deployed using Render Tell me your experience of website.

@ritazhang_yui · X

To every contractor tired of manually writing quotes, we just shipped the first working version of Quota, an AI estimator! Still early, but it’s finally live. Try it out: Would love feedback on what we should improve next 👀 #buildinpublic #AI #OpenClaw

@AadyaAI · X

Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.

u/Upbeat_Exam5410 · Reddit

Built an AI quoting tool for contractors — my neighbor was losing jobs because quotes took too long My neighbor runs a small moving company. Good guy, works hard. He kept losing jobs because by the time he emailed a quote, the customer had already booked someone else. He'd spend 20-30 minutes writing each estimate — pricing research, word it professionally, format it, send it. By the time it went out, it was too late. So I built QuickQuote AI. You put in the job details and GPT-4o generat

@AIWMCX1 · X

Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.

@TheChrisMarrano · X