PostIdentity, an AI that writes in your voice
I built PostIdentity because I was tired of rewriting the same idea for different platforms in different tones. On X I needed something short and casual. On LinkedIn it had to be longer and more formal. I spent more time polishing tone than writing. PostIdentity is a web app that learns how you write and builds AI identities that capture more than just tone. Each identity encodes pacing, intent, and personality to create posts that sound like you or match different styles for brands or clients. Unlike ChatGPT or other AI writing tools, PostIdentity keeps each identity persistent instead of…
What it does
In the maker’s words, at launch
I built PostIdentity because I was tired of rewriting the same idea for different platforms in different tones. On X I needed something short and casual. On LinkedIn it had to be longer and more formal. I spent more time polishing tone than writing. PostIdentity is a web app that learns how you write and builds AI identities that capture more than just tone. Each identity encodes pacing, intent, and personality to create posts that sound like you or match different styles for brands or clients. Unlike ChatGPT or other AI writing tools, PostIdentity keeps each identity persistent instead of recreating it from a prompt each time. It remembers how you write, the tone you use, and the style of your previous posts, so your output stays consistent. You can also take one idea and generate several versions of it across different identities, for example one for X and another for LinkedIn. You can: - Create multiple identities for different voices or projects - Generate posts instantly using any identity - Refine results to adjust tone or length - Use the Chrome extension to write directly on X and LinkedIn Signup is required, but you get an instant demo and 5 free posts when you log in. Demo video (1 min): https://www.youtube.com/watch?v=C9GeT0b4XFE Built with React, TypeScript. Uses Supabase, Claude Haiku 4.5 and GPT-5. I’m building this as a side project alongside my full-time job, but I’m putting a lot of hours into it each week. I have plenty of exciting ideas to expand it further and would love to hear what you think could make it more useful, and if you would use this yourself. Happy to answer any questions or share more details if you’re curious.
Does the same job
all alternatives →
- MVMy Voice AI interviews you, then writes your LI / X posts2024 · ▲6
I'm Tom, the cofounder of Canonical AI. I build a Voice AI agent that interviews you, then writes LinkedIn and X posts based on the interview. ### Why did I build this? 1. LinkedIn and X are b2b lead goldmines. But generating content is hard. You have to figure out what to say. If you're like me, you have trouble coming up with social post ideas when staring at a blank screen. But interesting ideas arrive when I step away from my laptop and talk to people. Also, it's hard to compose the content in a way that appeases the platform algorithms. 2. I want to dogfood my product. We’re building…

- TFTropes.fyi – Name and shame AI writingFeb 2026 · tropes.fyi · ▲5
Today I come to you on this beautiful Friday with a freshly hardthink-ed solution to a proliferous problem plaguing our world: the loss of original voice. The blanket of blandness slowly suffocating centuries of writing. Or to put it bluntly: AI writing is trash. It is disrespectful to expect ME to read something YOU could not even be bothered to write (or likely even read). The lingering human connection that remained resilient on the internet - through years of SEO optimisation, propaganda bots, ads, regional firewalls, politics, censorship - is now being diluted even further. Many of the…
- CACreated an AI for myself to achieve goals, it might help you guys tooJan 2026 · zropi.com · ▲6
I'm a Machine Learning engineer. Struggled with consistency for months on my goals, life etc, so I built something to help myself (zropi.com) but that surprised me or shocked me literally. It’s an AI companion that feels alive: chats like a person. Pauses, emotions, personality. Sends voice notes when it's excited about something or whenever it wants (has its like own mind). Shares photos of itself. But the memory It remembers EVERYTHING. Not just facts context, preferences, random things I mentioned. Last week I asked "how's that thing I told you about going?" and it knew exactly what I…
- TTTruly Typed – A writing app for the AI eraMay 2026 · trulytyped.com · ▲8
Hey HN, this is deepan from trulytyped (https://trulytyped.com). I am building a document writing app which makes it extremely easy to figure out how a document was created. Now that any text can be AI generated, how do you tell if something was actually generated or composed. It is impossible to detect AI after a piece of text has been generated. No amount of watermarking, linguistic checks or vibe checks work consistently. The AI detectors that schools and journals use are easy to bypass. Why do we need to solve this problem - First of all, this is not an anti-AI stance. I have…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, November 2025
the whole month →
- IB
Life & fun · Nov 2025 · bitsnpieces.dev



- BBoing▲782
Life & fun · Nov 2025 · boing.greg.technology