I’m the creator of Post2X. I recently left a 7-year career in Data Science and started to build my own tool.

The problem I faced was tool fragmentation. To do content marketing on social media, I was context-switching between LLMs for copy, meme databases for visuals, and Buffer for scheduling. It was inefficient.

I built Post2X to unify this entire stack into one flow. My internal benchmark is to create and schedule 100+ posts in under 1 hour, allowing me to batch my content marketing work and get back to coding.

How the workflow achieves that speed:

* Unified Drafting (Voice & Text): You provide the input/topics, and it generates drafts using a "Voice Mimicry" layer so the output sounds like you or the username you provided, not a generic bot.

* Integrated Visuals: No need to switch tabs to find images. You can generate images via prompt directly in the editor, or pull from trending memes to add context to your posts.

* Heuristic Scoring: Instead of guessing if a post is good, the tool grades drafts before you publish. Note: This isn't just historical regression; it scores text based on specific writing heuristics (Hook strength, Clarity, Replyability, Tension, and more).

* One-Tap Queueing: I removed the friction of manual scheduling dates. You set your "slots" once, and then push content to the queue (for both X and LinkedIn) with a single click.

Tech Stack: TypeScript, Tailwind CSS, Python, Supabase, OpenAI API, Gemini API, X API

It is free to try. (No credit-card required)

I’d love feedback on the ecosystem flow. Does the overall experience feel smooth and fast, or does anything slow you down or feel cluttered?