Launching today
Sea.rho7
"The AI tutor that works without WiFi"
12 followers
"The AI tutor that works without WiFi"
12 followers
"Sea.rho7 is a hybrid AI platform with two sides. For students (Class 6-12, CBSE/TBSE/ICSE): AI tutoring that keeps working with zero internet. For builders: Sea.rho7 Professional runs Gemini, Codex, and Claude together on every question — one drafts, another adds precision, a third synthesizes the final answer — plus an AI Marketplace directory for every other tool you need. Built solo from Agartala, Tripura, using AI-assisted development."
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Solo dev building something this ambitious from Agartala is impressive. One thing I want to understand better: when you say the three models collaborate on a single question, how do you handle the latency hit? Running Gemini, Codex, and Claude sequentially on every prompt seems like it would add real wait time, especially if the user is paying API costs on top. Is there caching or parallel routing happening behind the scenes?
@denizbyktedls6 "Great question, and honestly — right now it's sequential, not parallel. Gemini drafts, then Codex does its pass, then Claude synthesizes both. No caching yet either. So yes, there's real latency — typically 7-15 seconds depending on the question, and real cost across all three calls.
The obvious next optimization: Gemini and Codex don't actually depend on each other, so they could run in parallel — only Claude's synthesis step genuinely needs to wait for both. That's next on my list.
Being upfront — this is a solo build, and I've prioritized 'does the collaboration genuinely produce better answers' over latency so far. Feedback like this tells me what to fix next."
How do the three models (Gemini, Codex, Claude) actually split the work on a single question? Does one always take the lead or is it dynamic based on the prompt type?
@nkomoglu61553 "Right now it's fixed, not dynamic — Gemini always drafts first, Codex always does a technical precision pass second, and Claude synthesizes both into the final answer (Claude's synthesis step is being finalized right now, so responses currently reflect Gemini + Codex).
No prompt-type routing yet — every question goes through the same two-step process regardless of whether it's a coding question or general knowledge. That's actually a good next improvement: a coding-heavy prompt probably shouldn't wait on a full sequential pass the same way a simple factual question would.
solo-built from Agartala, that's genuinely cool. quick one — when the three models (Gemini, Codex, Claude) all run on the same question, how do you handle disagreements, and which one actually gets the final say on the synthesized answer?
@ahmet1wdx "Good question — right now there's no real 'disagreement resolution' happening, because it's sequential, not a debate. Gemini drafts first, Codex does a technical precision pass on top of that draft — Codex doesn't independently answer and then get compared against Gemini, it builds on what Gemini already said.
Claude is meant to be the final synthesis step with actual final say — reviewing both, correcting errors, resolving any inconsistencies — but that step is still being finalized on my end, so responses right now reflect Gemini + Codex without that final arbitration layer yet.
Honestly, once Claude's live, that's exactly its job: not just combining outputs, but actively catching contradictions between the first two and deciding what's actually correct. That's the piece I'm most excited to ship."
How does the offline tutoring mode actually handle updates to the syllabus or new textbook content, especially since CBSE keeps tweaking things every year?
@ngunendi13049 The contents itself isn't automatically detecting CBSE changes — I still need to update it manually when the syllabus shifts. But the DISTRIBUTION is automatic: whenever a phone has internet, it silently syncs any new or updated topics from the server in the background, so a student never needs to redownload the app or manually update anything.
Being fully honest about scale right now: my offline content library is still small — a couple of subjects, not the full Class 6-12 syllabus yet. That's actively being expanded, and the sync mechanism means whatever I add becomes available to every existing user automatically, without needing a new app version.
So: automatic distribution, manual content curation on my end. The alternative — trying to auto-detect syllabus changes — would be a much bigger, riskier problem (accuracy matters a lot for exam prep), so I'd rather be slower and correct than fast and wrong."