Codeamigo
Virtually
LIVRESQ
Programming Hub
Codedamn Create
Codecademy
TryHackMe
Qvault
Topolog
monday.com
Asana
ClickUp
Trello
MS Project
PlanningPME
Planoramic.io
Topolog turns any goal into a dependency graph and schedules your days around it. You get a structured plan, a completion spectrum, and a task list that adapts as you mark them done. Every plan is a real program, so the dates and odds are computed, not guessed.
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Topolog's answer:
Built by a solo founder with 14 years across Meta, Media.net, Amazon and others. After watching countless projects miss deadlines, not from incompetence but from tools that gave one fake date, I set out to build a planning engine that takes uncertainty seriously. The result is Topolog: a formally total scheduling language, a deterministic Monte Carlo engine, and a Bayesian self-tuning scheduler. Built entirely solo with Claude Code and Devin as AI engineering partners. Zero VC, zero team, 100% ownership.
Topolog's answer:
Anyone running a goal with real dependencies and real stakes: technical project managers, engineering managers, founders, and ambitious individuals planning complex personal projects like home renovations, album productions, or marathon training. The unifying characteristic is feeling the pain of planning tools that lie about deadlines. Topolog is for people who want to know their actual odds, not a false sense of certainty.
Topolog's answer:
Every other planning tool gives you one deadline, the one you'll miss. Topolog gives you the full picture: a dependency graph that knows what blocks what, a Monte Carlo completion spectrum showing your real odds, a critical path that updates as you execute, and a budget tracker tied directly to your probability of success. MS Project has critical path but no probabilistic engine. Monday and Asana have boards but no complete dependency model. AI tools hallucinate dates. Topolog computes them.
Topolog's answer:
Topolog treats every plan as a program. Plans are written in TOL (Total Orchestration Language), a formally total, decidable language where the scheduler and Monte Carlo engine compute dates and probabilities deterministically. The AI drafts structure but never touches the maths. You get a completion spectrum (a probability distribution over outcomes), honest deadline ranges (a floor and a ceiling, never one date you'll miss), and a Bayesian self-tuning scheduler that learns your real pace from timestamps alone. The planning language is public, you can author plans with any AI and run them through Topolog's engine.
Topolog's answer:
Topolog is a TypeScript-first web app built around a custom stochastic-planning engine:
Frontend: Next.js 15 (App Router) with React 18 and TypeScript, styled with Tailwind CSS. The interactive plan canvas uses dagre / ELK (elkjs) for graph layout.
Core engine: an in-house DSL ("TOL") plus a Monte Carlo stochastic-forecasting engine, written in pure isomorphic TypeScript so it runs identically on the server and in the browser.
Backend & data: Supabase (PostgreSQL, auth, and SSR), with the API layer on Next.js route handlers. Stripe handles billing.
AI authoring: a model-router layer that calls GPT (OpenAI), and Mistral for plan authoring and review.
Infra & quality: deployed on Vercel (Analytics + Speed Insights), error monitoring via Sentry, and tested with Jest + Playwright.
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Codeamigo - AI powered coding assistant that helps you learn to code like a developer. Source: about 3 years ago
If you do enjoy a course / structured / guided learning environment for a wide variety of cyber topics from beginner to advanced, something like TryHackMe is fantastic. If you want to go more coding/scripting way, I find Codewars is fun for a wide variety of languages, as well as CodeAmigo. Starting with python is a good start. From there one can move on to Golang or Rust. If you're doing Malware Reverse... Source: almost 4 years ago
Are there any plans for GitHub Copilot to ship an API? I think it would be interesting to set it up w/ my side project https://codeamigo.dev. - Source: Hacker News / about 4 years ago
Danilo: Love how React docs is using the SandpackCodeViewer component and how they leverage the decoration API to explain how the React API works: https://beta.reactjs.org/reference/usestate. Plus, https://codeamigo.dev/, which brought the Sandpack integration to another level! Very impressed! - Source: dev.to / over 4 years ago
With Sandpack, you can power up your coding tutorials. CodeAmigo has lessons that you can practice and follow along. They use Sandpack together with their custom editor for running the code. - Source: dev.to / over 4 years ago
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