Retire Logic RL
Stress-test your early retirement against market crashes
What it does
Intelligent Retirement Simulator: A 2026-focused FIRE calculator built to expose the hidden flaw of "average market returns." Features precise monthly compounding, custom lifestyle tiers, and a dynamic Safety Margin slider to stress-test your portfolio against real-world volatility.
Does the same job
all alternatives →- ICInvestment Calculator – A simple retirement calculator2018 · investmentcalculator.io · ▲308
- RCRetirement Calculator/Simulator2020 · lunchmodel.com · ▲11

- AFA FIRE calculator that verifies or determines your retirement numberFeb 2026 · retirenumber.com · ▲5
Most retirement calculators either oversimplify things or ask you to link your accounts so they can make money off your data. I wanted something that actually helped me see if I was on track without handing over a bank login, so I built RetireNumber. It's a privacy-first retirement planner. You type in your own numbers. No account linking, no selling your data, no VC. Just me and a subscription. The engine does real math: Monte Carlo with 1,000 runs, historical backtesting to 1928 using Shiller's Yale data, tax-aware withdrawal strategies, and scenario comparison so you can try different…
I made a retirement simulator: 125 years of data, 25 countries11d ago · foresightplanner.com · ▲16A complete retirement planner covering accounts, taxes, pensions, withdrawals, and life events, stress-tested against thousands of simulations drawn from over a century of real market history. Start with a free quick check, no sign-up required.
- FUFire UK Calculator and Visualiser2023 · fire.picheta.me · ▲51
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Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
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- 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