@nameisnotanoun · X

@signalmelo01 · X

SignalMelo: social listening & monitoring for growth teams

@anandkumar_dev · X

mistakevin · HN

I've been working on https://notebooker.ai if anyone is interested in giving some feedback. I tried to post a Show HN yesterday with details about how I built it, but was auto-flagged and not sure what rules I broke. Everything that I've built on top of open-notebook, like the plugin system for your own "creators" (aka, podcasts, infographics, etc) is at https://github.com/Notebooker-ai plus a Cloudflare Worker AI deployer to play with different models. Been working on it for about six months.

u/Otherwise_Goose5292 · Reddit

I built an AI that scores your social post on 312 factors before you publish — roast my roaster Two of us are creators who got tired of the post-and-pray cycle: hours on a post, hit publish, hope, mostly flop, never know why. We realized the difference between our good and bad posts was never luck — it was hook, CTA, timing, caption. Fixable things. So we built Synthiya: paste a draft, pick your platform, and it grades it 0–100 across 13 categories (312 factors) and tells you exactly what t

@kashifbuilds · X

Hey hey, I recently launched and am currently working on onboarding and engagement metrics. Lets connect!

@Akisin1 · X

Listen Like You Live

@alexdigitalmkt · X

Nice to meet you! :) Just launched Agentic GEO/AEO platform for solopreneurs and agencies: → AI Brand Visibility → Content Generation (with images and link building) → Agentic GEO Tasks → Competitor Analysis → BYOK - Unlimited prompts and content

Aural — 开源 AI 面试平台，支持语音、聊天和视频面试，提供自适应追问、结构化评分、面试练习与自托管 - [查看仓库](https://github.com/1146345502/aural-oss)

@aman29122k · X

- it's your one in all twitter companion

u/Puzzleheaded-Log-27 · Reddit

Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree

@zelvaio · X