Navam's profile on Product Hunt

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Navamleft a comment

12d ago

Season's greetings to the awesome ProductHunt community! The AI era is rapidly bringing change to all industries and occupations. The double exponentials at work in scaling AI model capabilities is in stark contrast to current rate of adoption at scale. NeoSignal is on a mission to accelerate frontier technology diffusion. We democratize tools and techniques used by frontier technology labs....

NeoSignalYour AI Command Center

NavamhuntedNeoSignal

12d ago

NeoSignal accelerates frontier tech diffusion by democratizing the tools and techniques used by leading labs. As AI, space, robotics, and autonomy converge—transforming fields from drug discovery to materials science and neuroscience—we help you navigate the shared, intertwined stack: accelerators, models, frameworks, agents, and cloud. NeoSignal publishes signals and builds high-velocity decision tools.

NeoSignalYour AI Command Center

Navamstarted a discussion

12d ago

Why we build NeoSignal

NeoSignal is on a mission to accelerate frontier technology diffusion. We democratize tools and techniques used by frontier technology labs. Several frontier technologies are converging—AI, space, robotics, and autonomy—reshaping scientific domains from drug discovery to materials science to neuroscience. Behind them all sits a shared but complexly intertwined infrastructure: accelerators,...

Navamleft a comment

1mo ago

Having worked with many startups and enterprise on their AI projects, one persistent problem I have seen AI teams face is taking high quality decisions for their AI stack which matches their unique needs. The pace of change in AI infrastructure, models, frameworks, and vendors only compounds the problem. As I am a builder of AI systems, I created Lattice to scratch my own itch as my personal...

LatticeSmart AI System Decisions

NavamhuntedLattice

1mo ago

AI infrastructure decisions are complex and time-consuming. Teams spend weeks manually gathering pricing pages, model cards, benchmarks, and documentation—only to have information go stale within months. Lattice changes this. It's an agentic AI lab assistant that automates research synthesis, processing vendor documentation, benchmarks, and pricing data to provide grounded recommendations with full citations back to authoritative sources.

LatticeSmart AI System Decisions

Navamstarted a discussion

1mo ago

Launching Lattice soon! Smart AI Systems Decisions

Hi, I am launching my first product on PH soon - next couple of hours soon :-) I am so excited about this holiday launch special and hope to gain some great feedback from lovely PH community in holiday spirit too! Lattice enables smart AI systems decisions. When building AI systems there are so many decisions to take. What model to use, which vendor to use for GPUs, which framework works best...

Navamstarted a discussion

1mo ago

Leading up to launch day!

Hello lovely people! Hope you are enjoying the holiday season. Launching during holidays is so much fun, in between awesome food, supportive friends and family! I have ticked all the boxes, ran 1,000+ tests on the product, recorded the walkthrough video, wrote the product features blog guiding uses step by step. Now on to doing some social posts, though I don't have huge following, still no...

Navamstarted a discussion

1mo ago

Launching Lattice for Smart AI System Decisions

Hi PH friends! I am the builder launching Lattice today... Just like me, I am sure you and your customers are constantly challenged to keep pace with changing AI infra, model, tooling landscape, while having to make high quality (and costly) decisions, fast! I built Lattice to help myself and my customers securely manage AI system requirements, pull in AI infra blueprints from leading vendors,...

Navamleft a comment

2mo ago

Vibe coding is moving to spec driven approach if you follow recent launches from AWS Kiro, Google Antigravity. I personally prefer context driven development. Where context is spec/roadmap + existing state of code + any specialized knowledge not part of model's knowledge cutoff + custom tools required to augment a development task. So I end up spending good amount of time crafting my context =...

Specs-Driven vs Prompts-Driven: Thoughts From Recent Chats With Builders

Ryan ZhangJoin the discussion

Navamstarted a discussion

2mo ago

Practitioner guidance on how to build like the best AI startups

I am building https://www.navam.io/ sharing practitioner guidance on how to build like the best AI startups including seven fully functioning projects, ready to fork, easily customize, and ship in days! Welcome your feedback and guidance on: 1. Which AI projects you would like to see me make next? 2. How can I make these AI projects more reusable and extensible for you? 3. What specific AI...

Navamleft a comment

2mo ago

I have crossed over from designer to engineer to product a few times in my career. Sometimes it felt I would have "grown" more if I stayed in one role. Now I feel "blessed" as I context switch between these roles with AI augmenting the plumbing and heavy lifting. I am doing more product work - evaluations, product market fit, feature backlogs... less engineer work - reading code or learning...

Are we entering the era where PMs and Designers are expected to build — not just hand over specs?

Jules BoiteuxJoin the discussion

Navamleft a comment

2mo ago

UI for Sentinel is getting complex. Every new tab that I am adding, every time I am increasing choice for the end user (like adding more test template variations), every time I am adding new features, the complexity of seemingly simple actions like saving a test is compounding. Now user can "effect" saving and related actions in several places in the app including changes in test graph canvas...

Building in public multi-platform desktop app using Claude Code

NavamJoin the discussion

Navamleft a comment

2mo ago

Sharing latest learning on knowledge grounding and context engineering when using Claude Code for code generation. I am adding system menu integration for the Sentinel app being built using Tauri. Initial attempts to add a simple Settings/Preferences menu to app system menu failed after multiple iterations. The LLM kept making "some changes" ensuring the fix is done. No joy in the app UI. So I...

Building in public multi-platform desktop app using Claude Code

NavamJoin the discussion

Navamstarted a discussion

2mo ago

Building in public multi-platform desktop app using Claude Code

I am building Navam Sentinel in public as a reference AI project source available at official GitHub repo. The problem I am addressing is multi-agent regression testing for quality, capabilities, efficiency, and other criteria which matters. I want to do so with least cognitive load on the end user who is a busy developer, engineer, scientist in an AI lab. The project is a reference in two...

Navamleft a comment

2mo ago

I have shipped close to 500K lines of code, docs, content all using vibe coding. This included several reference projects on GitHub, working Chrome extensions, web apps, command line tools, multi-agent systems, and most recently a multi-platform desktop app. I practice full software engineering + product design to marketing lifecycle using same multi-agent workflow using Claude Code + custom...