Quant Picker – which GGUF file fits your model and machine
Finally answers the GGUF quant question everyone asks in Discord.

Useful gut check, but Google Flights and Kayak Explore already solve this.
Budget-conscious travelers planning family trips
Google Flights · Kayak Explore · Skyscanner
This triggered TripVerdict, as I work in TravelTech and knows most of backend of the system, I realized I can build pre-research gut check tool which help people know what fits vs what not to save their precious hours.
This product solve 3 pain points: 1. I know my budget and destination, does it fit? 2. I know my budget and confused between 2-5 destinations, how do they compare? 3. I know my budget and want to which destination I could make
Uses real time flight, hotel and rentals prices to provide cheap vs comfortable options. Once you are satisfied with the verdict, then booking links are shown to proceed.
There is no tool out there which provide traveller with this opportunity, every OTA is trying to sell. We are here to protect your budget.
Tech Stack : Typescript, Node.js, Supabase, Clerk, 3 service providers, Claude Code, Vercel, Squarespace
Would really love the feedback of this community on whether tackling right pain points through right medium? Do you think of any other monetization channels?
Happy to answer any foundational or technical questions.
Finally answers the GGUF quant question everyone asks in Discord.
Fits 4.5MB models into 256KB SRAM via tiling with zero dynamic memory allocation.
Yet another AI job matcher in a sea of LinkedIn and Otta clones.
LinkedIn graph mining + weak-tie theory, but LinkedIn ToS risk unclear.
Self-hosted finance tracker that finally respects integer-minor-unit math.
The product nails a single, useful interaction: type a price and instantly see how much of your remaining monthly cash it consumes, plus a simple nudge (’wait 72 hours’) to avoid impulse decisions. It’s a clean, focused demo that feels more behavioral tool than budget app — useful as-is for awareness, but it needs personalization (real budgets, category context or configurable rules) to move from novelty to something people rely on regularly.