Talha Tahir@Talha-tahir2001
4
Events attended
2
Submissions made
Pakistan
2+ years of experience
About me
I’m a software engineer with hands-on experience in building full-stack applications using NextJS and NestJS. I’ve worked on projects ranging from dynamic CRUD apps to serverless and cloud-based solutions, and I’m especially drawn to solving real problems through clean, scalable code. My goal is to keep growing as a developer by working on meaningful products, collaborating with sharp teams, and eventually leading projects that blend great UX with solid architecture.
🤓 Latest Submissions
Thesis - AI Startup Validator
Ninety percent of startups fail — most because the idea was never properly validated. Founders with a raw idea face weeks of manual work: mapping the competitor landscape, surfacing hidden assumptions, and scoping an MVP by hand. Worse, ideas are born as speech; by the time the research is done, the spark is gone. Thesis fixes this. It turns a spoken, raw business idea into a structured, web-grounded validation report in under 60 seconds. Speak your idea, and a single AI orchestration pipeline produces six analysis dimensions — a summary, testable hypotheses, real competitors, critical questions, an MVP scope, and a 1–100 viability score with rationale — all rendered on a shareable, interactive canvas. The pipeline is grounded in four production-grade APIs working together. Speechmatics handles real-time voice transcription, so founders can speak ideas while they're fresh instead of typing them out. Tavily live web search grounds every competitor and market signal in real, citable sources — no hallucinations. The AI/ML API orchestrates the LLM call that produces all six analysis dimensions in a single pass. Supabase handles auth, persistence, and storage, so every canvas is saved and revisit-able. Beyond the initial report, the canvas is interactive: founders can drill into any section with follow-up questions, each answered with a fresh web search where relevant. The result is a tool that collapses weeks of validation work into a minute — and produces a shareable artifact a founder can return to, refine, and act on.
10 Aug 2026
HireFlow
# HireFlow — AI Hiring Intelligence HireFlow is a multi-agent hiring workflow built on Band that transforms the traditionally manual and time-consuming hiring process into an intelligent, collaborative pipeline. Instead of relying on recruiters to manually analyse job descriptions, review resumes, identify candidate gaps, create interview questions, HireFlow distributes these responsibilities across a team of specialized AI agents that work together in a Band workspace. The workflow begins when a hiring manager submits a job description. The Job Analyzer agent converts the raw job posting into a structured hiring rubric with required skills, weighted evaluation criteria, seniority expectations, red flags, and culture-fit signals. This rubric becomes the single source of truth for the entire pipeline, ensuring every downstream decision is aligned with the original hiring requirements. Next, the Resume Screener agent evaluates candidates against the rubric rather than using subjective judgments. Each candidate receives a structured assessment, skill alignment, seniority evaluation, strengths, gaps, and an overall recommendation. The agent then ranks candidates and identifies the strongest prospects. The Interview Planner agent uses these screening results to generate tailored interview question packs. Rather than producing generic interview templates, it creates targeted questions designed to validate candidate strengths and investigate identified gaps, helping interviewers makeinformed decisions. Finally, the Decision Summarizer agent compiles all outputs into a comprehensive hiring report. This report includes candidate comparisons, hiring recommendations, interview guidance, reasoning behind decisions, and a transparent audit trail showing how each recommendation was generated. Built for the Band of Agents Hackathon, HireFlow showcases a practical enterprise use case where AI agents function as a collaborative hiring team rather than isolated assistants
19 Jun 2026
