Kaspro
AI that finds money leaks and creates your financial todo
What it does
Kaspro doesn't just show pretty charts and say "spend less." Others: YNAB says "over budget" - Copilot shows charts. Kaspro: ✅ Finds: "Shopping 516% over budget ($2,579 vs $500)" ✅ Creates tasks: "Cancel unused subscriptions" ✅ You fix your money Features: 🎤 Voice input in 20 languages 📊 AI charts on demand 🏦 Auto loan EMI calculator 🎯 Goal tracking with weekly tasks Real result: $1,176/month gap found → cleared $27,423 debt Pricing: $3/month vs YNAB $14.99 Free 30-day trial: kaspro.app
Does the same job
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MoneySplitMay 2026 · moneysplit.chetanpiduru.dev · ▲2Track your spends,subscriptions not your data. 100% offline
- IBI built an AI that knows my net worth: 3 countries, 6 currenciesJul 2026 · demo.joinbrisa.com · ▲6
I'm Canadian, live abroad, and my money is scattered across two countries, multiple currencies, banks, brokerages, real estate, and some private equity. No app could hold all of it, and none could answer a simple question like "what's my actual USD exposure?" Brisa pulls everything together (Plaid + manual accounts + real estate + PE, all multi-currency) and puts an AI on top that has my full financial picture in context. Instead of clicking through charts, I can just ask. Would appreciate any feedback!
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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Dev tools · May 2026 · github.com