
EatsReady
Foody
Capy Eats — Stop scrolling. Get one dish that fits your taste.

AICostNest
LLM Cost Calculator
Tokenflood
Count LLM tokens and estimate API cost from text, PDF, DOCX, code, data files, and images with privacy-first browser-based processing.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | capyeats.dnkistudio.com | tokencalculator.dev |
| Pricing | ||
| Platforms | — | |
| Company | 2026 | Startup from India · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


Capy Eats is a food decision app for the “what should I eat?” moment. Tell Dada your taste, swipe through a calibration, and get one dish instead of an endless list. It learns from your likes, skips, mood, budget, and history; filters allergies and avoided ingredients; and shows nutrition context...
TokenCalculator.dev is a privacy-first, 100% browser-based LLM token counter and API cost estimator designed for AI engineers, developers, and product teams. Unlike conventional text-only calculators that require uploading sensitive prompts to third-party servers, TokenCalculator.dev processes...
What each product offers, as listed by its team.


How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Capy Eats and TokenCalculator.dev.
TokenCalculator.dev's answer:
TokenCalculator.dev is a 100% browser-based, privacy-first token counter and API cost estimator that handles multimodal payloads without sending data to a server. Unlike conventional text-only counters, it processes pasted text, local documents (PDF, DOCX, and code in 20+ languages up to 12 MB), and image files (PNG, JPEG, WebP, GIF) entirely on the client side across OpenAI, Claude, Gemini, and DeepSeek.
TokenCalculator.dev's answer:
Most token counters either require pasting text into third-party cloud servers or only support basic text inputs for a single provider. TokenCalculator.dev guarantees zero prompt or document retention, supports direct document parsing (PDF/Word/code) and visual tile/patch token calculations, and lets you compare live input costs and context-window fits across four major frontier providers simultaneously.
TokenCalculator.dev's answer:
AI engineers, software developers, technical product managers, and researchers who build LLM-powered applications, design RAG pipelines, or manage API token budgets and context window limits.
TokenCalculator.dev's answer:
Developers frequently face unexpected API costs, context overflow errors, and privacy concerns when testing prompts and document payloads with online token tools. TokenCalculator.dev was created to provide a fast, transparent, and completely offline-capable developer utility that reliably measures realistic production payloads—including codebases, documents, and images—without compromising sensitive data.
TokenCalculator.dev's answer:
Built with modern web technologies using TypeScript and WebAssembly/JavaScript for client-side BPE tokenization (o200k_base), browser-native text extraction parsers for PDF and DOCX, client-side Canvas APIs for image dimension inspection, and integrated model pricing metadata.
TokenCalculator.dev's answer:
Independent AI Engineers & Full-Stack Developers RAG & Agentic Workflow Builders Open-Source Software Contributors Tech Startups budgeting multi-model API deployments
Share your experience with using Capy Eats and TokenCalculator.dev. For example, how are they different and which one is better?
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