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Jobspiq is an AI-native job discovery engine for Indian engineers. It crawls 15+ portals & public ATS systems (Naukri, LinkedIn, Greenhouse, Lever) to match jobs using 768D vector embeddings (pgvector). Avoids keyword matching in favor of conceptual alignment and Engineering Archetypes (Builder, Architect, Operator). Features customizable match scores, instant Telegram/push alerts within 15 minutes of posting, and a Kanban board with AI-driven interview debriefs to manage your pipeline.
I’m Jaydeep Goswami, Founder & Principal Engineer of Jobspiq.
We’ve all been there: scrolling endlessly through duplicate listings, getting spammed with irrelevant keyword alerts, or discovering a "new" role that was actually filled weeks ago. Modern job hunting feels broken.
That’s why I built Jobspiq, a developer-first, zero-spam, AI-native job discovery platform engineered specifically for the Indian tech ecosystem.
💡 What makes Jobspiq unique?
🎯 True Semantic Matching: No keyword hacks. We use 768D vector embeddings (nomic-embed-text-v1.5) and PGVector similarity search to read JDs the way an engineer would, matching actual skill resonance, not just buzzwords.
🌐 Beyond Traditional Boards: Jobspiq continuously aggregates listings from major portals (Naukri, LinkedIn) plus unauthenticated public ATS boards (Greenhouse, Lever, Ashby, Workday). We find the hidden roles standard job boards miss.
🧬 Engineering Archetypes: Instead of generic tags, we map profiles and jobs into distinct engineering identities:
⚡ Instant Alerts (Telegram & Push): Celery crawlers run every 30 minutes. The moment a job crosses your custom match threshold (e.g., >70% resonance), you get notified instantly so you can be among the first to apply.
📊 Kanban Tracker + AI Debriefing: Track applications on a clean drag-and-drop board with an AI co-pilot that analyzes your interview notes to fine-tune your preparation.
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About Jobspiq on Product Hunt
“The Fastest Way to Your Right Job.”
Jobspiq was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #152 on the daily leaderboard. Jobspiq is an AI-native job discovery engine for Indian engineers. It crawls 15+ portals & public ATS systems (Naukri, LinkedIn, Greenhouse, Lever) to match jobs using 768D vector embeddings (pgvector). Avoids keyword matching in favor of conceptual alignment and Engineering Archetypes (Builder, Architect, Operator). Features customizable match scores, instant Telegram/push alerts within 15 minutes of posting, and a Kanban board with AI-driven interview debriefs to manage your pipeline.
Jobspiq was featured in Hiring (15.4k followers), Developer Tools (517.4k followers) and Artificial Intelligence (475.9k followers) on Product Hunt. Together, these topics include over 201.7k products, making this a competitive space to launch in.
Who hunted Jobspiq?
Jobspiq was hunted by Jaydeep Goswami. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Jobspiq stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jaydeep Goswami
Hey Product Hunt! 👋
I’m Jaydeep Goswami, Founder & Principal Engineer of Jobspiq.
We’ve all been there: scrolling endlessly through duplicate listings, getting spammed with irrelevant keyword alerts, or discovering a "new" role that was actually filled weeks ago. Modern job hunting feels broken.
That’s why I built Jobspiq, a developer-first, zero-spam, AI-native job discovery platform engineered specifically for the Indian tech ecosystem.
💡 What makes Jobspiq unique?
🎯 True Semantic Matching: No keyword hacks. We use 768D vector embeddings (nomic-embed-text-v1.5) and PGVector similarity search to read JDs the way an engineer would, matching actual skill resonance, not just buzzwords.
🌐 Beyond Traditional Boards: Jobspiq continuously aggregates listings from major portals (Naukri, LinkedIn) plus unauthenticated public ATS boards (Greenhouse, Lever, Ashby, Workday). We find the hidden roles standard job boards miss.
🧬 Engineering Archetypes: Instead of generic tags, we map profiles and jobs into distinct engineering identities:
Builder: Early-stage, greenfield complexity, shipping fast.
Architect: High-scale, distributed systems, high availability.
Operator: DevOps, MLOps, platform engineering, infrastructure.
⚡ Instant Alerts (Telegram & Push): Celery crawlers run every 30 minutes. The moment a job crosses your custom match threshold (e.g., >70% resonance), you get notified instantly so you can be among the first to apply.
📊 Kanban Tracker + AI Debriefing: Track applications on a clean drag-and-drop board with an AI co-pilot that analyzes your interview notes to fine-tune your preparation.
🛠️ Built by Developers, for Developers
Backend: FastAPI (Python), PostgreSQL + PGVector, Elasticsearch 8 (pre-filtering), Redis 7, Celery 5
Frontend: React 18, Vite, Tailwind CSS, Zustand, @dnd-kit, TanStack Query v5
Mobile: React Native / Expo (SDK 52) + NativeWind
💬 I’d love your feedback!
We’re launching today to get Jobspiq in front of the builder community. I’d love to hear your thoughts on:
Matching Accuracy: How well does the resonance score align with your actual background?
Feature Requests: What ATS platform or notification channel should we integrate next?
Drop your questions, critiques, or feature ideas in the comments below. Thank you so much for the support, and happy coding! 🚀
— Jaydeep