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I'm Angel, creator of Studio SIGI36. I want to share how this project came to life not from a business plan, but from a real crisis.
The backstory: I spent years in real estate and was building a property portal called SIGI36 on the side. Things were going well until a serious personal problem hit me overnight and left me unable to leave my house. A childhood friend who had moved away and works in real estate started helping me create videos and marketing materials because agencies were charging him and his team exorbitant prices for simple videos, images, and brochures. They were being taken advantage of.
My co-founder and I are engineers. We have never designed an interior in our lives. What we have done is spend a lot of time talking to people who do it every day, and listening to the same frustration repeated in different words.
The frustration: clients approve things and then do not recognize them when they are built. The mood board looked right. The space does not feel right. Somebody has to absorb the cost of fixing it.
When a company has 10 employees, engagement feels natural.
Everyone knows what s happening. Communication is direct. Founders are accessible. Feedback loops happen organically.
But somewhere between 50 and 500 employees, things start to change.
I've noticed that many growing businesses don't struggle because they lack talent. They struggle because information, recognition, accountability, and collaboration become harder to manage at scale.
Yesterday I worked about 5h 11m of productive time.
As an indie engineer, I kept thinking I was behind, like my employed friends were working harder than me. I wanted some real feedback on my productivity, like having an actual external boss.
I tried using time trackers, but they weren't good at tracking everything.
So I built Didon. An AI time tracker that auto-generates work logs to track your time and analyze your productivity.
We just launched Huint. AI agents can search, write, plan, code, and move through software, but they still cannot verify what is happening in the physical world. Huint closes that gap by connecting AI workflows to nearby people who can complete simple real-world tasks. For Taskers, that means getting paid to complete tasks nearby through the iOS app. For Operators and builders, that means being able to request real-world proof, photos, observations, and verification through the portal, API, or MCP. We are starting simple: photo tasks, clear instructions, GPS gates, camera capture, review, and payout after approval. The bigger vision is to build the human intelligence layer for AI agents. Real tasks. Real places. Real proof. Would love feedback, questions, and early users.
I'm launching LinkBox tomorrow a self-hosted AI media engine built for people with serious music libraries who are tired of renting their taste back from streaming platforms.
70,000+ track seed library loading in under 3 seconds. AI wired into every layer smart playlists, live track commentary, a Metadata Orchestrator that labels your whole library in a 15-hour automated loop.
Arjun here, founder of HiringPartner.ai. We're launching today and I wanted to share why we built this.
Last year, I posted a developer role and got 1,200 applications. My small team spent a month screening, and I'm pretty sure we missed great people who got buried in the pile. That sucked.
So we built an AI platform that does the heavy lifting: screens resumes, calls candidates, conducts interviews, and gives you a ranked list of the top 10 finalists - all in 48 hours.
