Saras is a learning system for busy professionals — an AI tutor that lives in your pocket via Telegram, starting with GMAT prep and expanding to GRE and other standardized tests, with WhatsApp and iMessage on the roadmap. It's built on Hermes Agent, with a profile-based architecture: every new user gets their own git-hosted Hermes profile, provisioned through an automated pipeline — build once, clone infinitely.
We shipped v0 in late July and are live in early access: 15+ users on trial today, with a few more waitlisted, and on track to hit our first $1000 in revenue by the end of August. We're targeting a $120B+ test prep market, starting with US/EU GMAT aspirants. Priced at $150-250 for 3-month access, with a 14-day free trial. Now that the core loop works end to end, the focus is making the platform scale cleanly past a handful of hand-held users, hardening the provisioning pipeline, automating onboarding fully, and wiring up payments.
What we build through Saras feeds forward into Sanganak Works' larger ambitions. We're independent, bootstrapped, remote-first, and mission-oriented. Very early, with room to experiment and bring frontier tech to those who deserve it. Read about our manifesto here.
This is not a traditional engineering role. This is 80% configuration, 15% coding with AI agents, and 5% tasteful intuition about systems. You'll work alongside AI agents daily — Hermes, Codex, and the rest of the stack are your co-workers. This is how engineering will get done in the future. Be ready for it.
Saras lives on Telegram today. You make the "text one number, get a personalized tutor" experience work end-to-end as we open it up to WhatsApp and iMessage, building the router/bridge that holds the stream and dispatches to the right profile with hard memory isolation per user, regardless of channel.
Payments are already underway; the frontier is agentic payment rails: in-line purchases, price negotiation, and transacting on the user's behalf inside the conversation. This isn't a one-time gateway to wire up and forget; it's making payments a native part of how Saras coaches.
From "user texts the number" → profile provisioning → conversational intake (target score, weak areas, study timeline) → personalized study plan. Must happen in one message round-trip, zero manual ops.
Wire Saras into third-party data sources and Google Calendar so it reads the user's real schedule, pulls in relevant context, and plans study around an actual life, not a generic template.
Cron-triggered nudges per user profile. Saras doesn't wait for the user to initiate; it checks in daily, tracks progress, adjusts the plan. This is what makes it a coach, not a chatbot.
Per-profile logging, memory integrity checks, gateway health dashboard. One VM, one Docker project, one gateway process, and you keep it running.
We build on the shoulders of giants, backed by plenty of our own elbow grease, making scalable systems that support everyone. Our stack is largely open-source projects.
The full architecture is a conversation for the interview; for now, the keywords that matter: autonomous AI agents, multi-tenant messaging, and cloud deployment. Think Docker, cron-driven automation, and agent frameworks in the Hermes / OpenClaw lineage. We're open floor on the rest; if you can reason about self-running agents and production cloud systems, you can pick up our specifics on the job.
Compelling GitHub profiles or portfolios will be preferred over swanky resumes.
After the 3-month period, we're open to renegotiate terms based on product trajectory and performance.
Apply on BITSians. Include your GitHub profile or portfolio. We'll read it before we read your resume.