Evan D'Souza
Solo SaaS founder. Ops brain. Local LLM tinkerer. Music producer. Motorcyclist.
Currently: Building Dszape (hotel SaaS) + Becky OS (multi-agent coding OS)
Previously: 10 years turning early-stage chaos into predictable scale
Always: Figuring it out as I go, honestly
I build things. Sometimes it's a SaaS platform for hotels. Sometimes it's a multi-agent AI system that manages itself. Sometimes it's a Konkani hip-hop track. Sometimes I just need to disappear on a motorcycle for a while.
The common thread: I can't sit still, and I'd rather build something imperfect today than plan something perfect forever.
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Shopify for Hotels -- hospitality management platform.
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Multi-agent coding OS -- because AI agents need management too.
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I also work with early-stage startups as a hands-on growth consultant through evandsouza.com. Not the "here's a deck, good luck" kind -- the "I'll build the engine alongside your team for 90 days" kind.
What I help with: Startup Growth | SaaS Strategy | D2C Operations | Product-Led Growth | Community Building | AI Strategy
"Most startups don't die from bad products. They die from bad plumbing." -- me, probably too often
I don't believe in being one thing. Life's too short and too interesting.
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I produce music under Mad Ape on Odessis -- a Konkani music label out of Goa that's slowly becoming a creative studio. We make everything from soulful ballads to hip-hop, all in Konkani -- a language most people haven't heard of, which is exactly why it matters. Stories born by the sea, built for the world. |
Two wheels, open roads, and whatever food I find along the way. I ride motorcycles the way I build software -- probably too fast, occasionally lost, always learning something. The channel is small, the rides are long, and the food stops are non-negotiable. |
GREENFIELD MODE BROWNFIELD MODE
=============== ===============
Brief --> PRD --> UX --> Arch Audit --> Document --> Plan
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v v v v
Stories --> Implement --> Test Intervene --> Test --> Verify
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v v
[ VERIFIER ] [ VERIFIER ]
DONE | VERIFIED | AUDITED DONE | VERIFIED | AUDITED
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v v
Retro --> Rule --> Compile Retro --> Rule --> Compile
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+---- RULES COMPOUND ------------------+
The agent that builds the feature cannot be the agent that grades it. That's not a technical detail -- it's the whole point.
I'm not going to pretend I have it all figured out. But after years of building, breaking, and rebuilding things, here's what I keep coming back to:
- Systems beat heroics. A good process run by average people outperforms a bad process run by geniuses. Every time.
- Ship the smallest thing that validates the assumption. Then iterate. The 60-second test: can someone get value in under a minute?
- If it's not measured, it didn't happen. If it's not automated, it won't stick.
- The same mistake shouldn't happen twice. Every incident becomes a rule. Rules compound. That's the whole game.
- You can be serious about your work without taking yourself too seriously. I build production SaaS by day and make Konkani hip-hop by night. Both are real.
Things that run on my own machine, because privacy, iteration speed, and ₹0 marginal cost matter:
- Ollama on Apple Silicon — local models for private, repeated, high-iteration workloads
- A persistent AI assistant voice — local TTS / voice-clone experiments, no rented API voice
- Agent long-term memory — file-based hot index + cold archive + full-history recall, injected at session start
- FL Studio MCP server — agents write MIDI straight into my DAW sessions
- Offline AI vocal mastering — autotune + processing chain + loudness, fully local, used on real releases
Local models where privacy and iteration speed matter; frontier models where capability does.
- How I'm Building a Full SaaS Platform Solo With AI at 36
- Running Local LLMs on a MacBook: The Practical Guide for Builders
- What I Learned Building a Multi-Agent AI Coding System (BeckyOS)
- Vibe Coding in Production: Guardrails That Keep AI-Written Code Safe
- Real Reason Why People Contribute to Open Source -- A Business Use Case


