Actionow targets the full pipeline of screenwriting, storyboard collaboration, and AIGC production with an agent-driven, self-hostable open-source workspace.
The platform organizes every creative action around the content graph Script Episode Scene Storyboard Character / Prop / Style / Asset. Every entity is versioned and lineage-tracked; every interaction is observable, replayable, and reusable by agents.
Open Source: https://github.com/actionow-ai/a...
Audience
Film, ad, and animation teams
Connect writers, art, and production through agents; turn storyboards and assets into reusable inventory.
AIGC studios
Wrap multimodal model capabilities as Skills and compose them per character or scene.
Enterprise AI platform teams
Use this project as a reference implementation for an in-house Agent platform with a billing closed loop.
AI engineers
Study how the Spring AI Alibaba Agent Framework can be productized in a multi-tenant environment.
This release is all about making the product more useful in real trading workflows, from AI research and Python strategy generation to backtesting, tuning, and live execution.
For too long, learning distributed systems has meant staring at static diagrams and hoping the concepts eventually click. You can recite CAP theorem, explain eventual consistency, draw a microservices diagram from memory, and still freeze when something breaks in production.
I know that feeling well. My background is in Mechatronics Engineering and I currently work as a software engineer at Gymshark. Distributed systems was never formally taught to me. I learned it the hard way, and that gap between theory and intuition is what pushed me to build Cascode, alone, around my full time job.
It s a browser-based canvas where you assemble real AWS architectures, watch live message flows run through them, inject failures, and see what cascades.
Not sure where to find hunters, so I ended up here. Just one of the duo creators building from remote Australia (no connections, no network, just vibes and a decent product).
Hi everyone I launched CommunityTracker.ai today and would really appreciate your support.
It s built to help teams track community conversations (ProductHunt, Reddit, Linkedin, Twitter etc), surface useful insights, and better understand what their users are saying.
We ve been heads down improving Auto CV and this update is a big one.
A while ago, I shared the initial version of Auto CV. Since then, I ve focused on refining the core experience and building features that actually help users move faster in their job search.
What s new?
1. Complete UI/UX overhaul The entire interface has been redesigned with simplicity and clarity in mind.
Let s be honest: We love to romanticize the "gut feeling." We think being a founder is an art form, but in 2026, where anyone can ship an app in a weekend, "guessing" has become a luxury we can't afford.
I built Bunzee.ai because I was tired of watching brilliant makers (including myself) waste months building beautiful solutions for problems that don't exist. I wanted to turn the "art" of market research into a cold, hard math problem. By processing over 200,000 objective data points, Bunzee doesn't just "chat" with you it stress-tests your logic until only the truth remains:
The Market Reality: It replaces "I think people want this" with a validated TAM/SAM/SOM score.
The Combat Strategy: It carves out your ERRC positioning so you re not just another "me-too" product.
The Blueprint: It translates raw data into an immediate execution plan (PRD & Mockups) so you ship with conviction, not hope.
