WealthLens
WealthLens: Your Wealth, Under Your Lens
What it does
WealthLens disrupts fintech by prioritizing Financial Sovereignty. Unlike competitors who mine your data, our Zero-Knowledge Vault uses client-side encryption—you hold the keys, we just store the shards. Our Institutional Rule Engine gives you surgical control over transaction mapping, while FIRE-Native Analytics project your path to retirement in real-time. It’s not a budget app; it’s an institutional treasury for the sovereign investor.
Does a similar job
all alternatives →- WPWealthfolio: Private, open-source investment tracker2024 · wealthfolio.app · ▲924
Thank you for your comments, just some context: - The app is a simple desktop application that works on macOS, Windows, and Ubuntu. - I developed this app for my own needs. Getting tired of SaaS app subscriptions and privacy concerns. - For now, the activities are logged manually or imported from a CSV file. No integration with Plaid or other platforms. - No monetization is planned for now (only a "buy me a coffee" if you use and appreciate the app).
- IMInvestment monitoring tool for data nerds and privacy buffs2024 · mycapitally.com · ▲14
Hey HN, As someone who geeks out on both investment data and privacy tech, I built Capitally to scratch my own itch. It's encrypted on-device so that once I can afford to hire a second engineer, he cannot peek into my own data! I wanted a way to monitor ALL my investments (stocks, crypto, real estate, angel investments, etc.) in one place and really dig into the data - but without compromising my privacy. Here's how Capitally makes that possible: On the data side: Import data from CSVs, spreadsheets, or any other source via a flexible no-code editor Map any data format into a standardized…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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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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Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
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…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com