Deploy Flixty in minutes with NEXUS AI
5 min read Beginner friendly April 2026
Flixty is an open-source, self-hosted social media creator studio that lets you publish to X, LinkedIn, Facebook, Instagram, TikTok, and YouTube from a single interface. NEXUS AI deploys it directly from source no Dockerfile required with a single MCP tool call.
This guide walks you through deploying Flixty on NEXUS AI step by step covering provider selection, environment variable setup, OAuth configuration for each platform, and ongoing management. By the end you'll have a live, self-hosted social posting studio running on your own cloud infrastructure.
What is Flixty?
Launching tomorrow: OptiEtsy - AI Etsy Listing Optimizer from Supplier URLs 🚀
Hey Product Hunt community!
I'm excited to announce that I'll be launching my new tool, OptiEtsy, tomorrow morning at 8 AM Irish Time!
I built a PDF tool where your files never leave your browser
Hello people,
3 days ago I launched PrivaPDF a privacy-first PDF converter that runs entirely in your browser.
No uploads. No servers. No account required. Works offline.
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Are you solving hundreds of LeetCode problems but still struggling to land that Big Tech offer?
Companies like Google and Meta aren't just checking if your code compiles. They're looking for "Signal" your communication, edge-case handling, and architectural trade-offs.
Building a project around AI compliance - seeking advice
Hey folks! Im building a small side project called Legible and figured I might need some feedback from a real world before I commit my self 110% to this.
The basic idea is to make AI compliance less messy for teams building around AI which I guess everyone does it these days, especially when GDPR and EU AI Act questions starts coming up.
Right now Im experimenting with workflows around:
Classifying AI feature risk (So a team can understand which AI features are low risk vs higher risk from a compliance standpoint)
Showing which obligations apply (Helping teams see what they may need to do under frameworks like GDPR or the EU AI Act)
Tracking evidences / missing docs (Making easier to see what documentation, policies, or proof is already in place and what is still missing)
Generating reports/pdfs that people can actually use (So teams have something structured they can share internally or use during audits, diligence or reviews.)
A few questions I'd love thoughts on:
Using chat gpt to turn 10 years of development into 6 weeks
GameFi is broken because static systems die under dynamic stress. After three decades building full-stack architecture, I got tired of watching crypto economies bleed out the second liquidity dries up. So, for GrowHouse, I threw out the standard static-emission playbook and built the Blaze Balance Engine.
This isn't just a token attached to a database. Blaze is a live, AI-guided macroeconomic control layer built for absolute survival. Here is how the architecture actually works under the hood:
Zero-Latency Pool Reads: We don t rely on lagged third-party APIs (CoinGecko/CMC). Blaze is wired directly to the active on-chain AMM pools. It reads raw pair health, route availability, and volatility at the source. It knows the exact market pressure before the players do.
Dynamic Friction as a Defense: When the pool reads high stress, Blaze doesn't just sit there while farmers drain the treasury. It spikes "Storm Pressure," dials back the jackpot cadence, and increases gameplay friction. We slow the reward flow to match the reality of the chain. The Web2.5 Shield & Player Retention: But throttling rewards kills bad games. GrowHouse survives because the core loop an MMO farming and Drug Wars-style arbitrage simulator runs off-chain. Players are grinding, trading inventory between AI factions, and locking up their internal resources in a staging vault to dodge Blaze's in-game hazard taxes. They stay engaged because the gameplay is highly strategic, even when the macro-economy tightens. Furthermore, actual liquidity withdrawals are strictly gated behind a 100k holding requirement and manual treasury caps, completely eliminating the threat of automated bank runs. Macro-Resilience, Not Price Manipulation: I m not promising artificial price floors that's a scam. What I m engineering is pure risk-response logic. GrowHouse isn t a yield farm. It is a living Web2.5 ecosystem that breathes with the market, paces itself during a storm, and mathematically prevents the death spiral.
Links
https://www.420bt.com/
https://growhouse.420bt.com/dash...
Kanban in AI workspace, do share your thoughts
A workspace only matters if it helps move work forward.
That s why project management / kanban is part of Provoke too. Because there s a big gap in a lot of products between:
thinking
generating
and actually executing
We want Provoke to connect those layers.
Oryzo AI - A wearable AI product in the AI era
We've seen so called AI product flopped. I believe we made it - oryzo.ai.
Product Hunt Page: https://www.producthunt.com/prod...
We integrated multiple models into CoreSight because no single model is best at everything.
Different models have different strengths. Some are faster, some go deeper on complex financial reasoning, some handle specific tasks more reliably than others.
Rather than picking one and hoping it covers every use case, we wanted to give you the option to choose.