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.

CodeAva's answer:

CodeAva is built primarily with Next.js, React, TypeScript, Tailwind CSS, and modern browser APIs, with a strong focus on fast front-end performance, clean UI, and browser-based developer tooling.

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.

CodeAva's answer:

CodeAva acts as an Automated Validation Assistant (AVA) for developers. CodeAva combines website audits, code audits, and practical developer tools in one clean workflow. Instead of offering a single utility, it helps developers and technical teams validate what they are about to ship — from technical SEO and response headers to code quality, timestamps, IDs, JWTs, and debugging helpers. It is built to be fast, browser-friendly, and genuinely useful in real development and QA workflows.

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.

CodeAva's answer:

CodeAva is designed for practical validation, not just isolated utilities. It gives users a mix of audits, developer tools, examples, and technical guides that help catch issues earlier and act on them faster. The product focuses on clarity, useful outputs, and developer-first workflows, with many core tools available without signup.

CodeAva's answer:

• Independent Full-stack Developers
• Early-stage Tech Startups
• DevOps and SRE Teams
• Open-source Contributors
• Cybersecurity Researchers

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.

CodeAva's answer:

CodeAva is built for software developers, QA-minded teams, technical founders, agencies, and site owners who want to catch code, performance, SEO, and validation issues before they reach production.

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.

CodeAva's answer:

CodeAva stands for Automated Validation Assistant. It was created around a simple frustration: too many quality checks happen too late, across too many disconnected tools. The goal is to make validation faster, clearer, and more useful for teams that ship real code, real websites, and real products.