Nicheloom visitors: 14,205 all-time · 8,604 in the last 7 days

The opportunity tracker for new startups.

Today: 1,383 launchs · Niche of the day: document and PDF processing tools · See full report →

PraxisAI

Practice AI coding interviews on real GitHub issues

Get picks like this daily. The day's top launches, AI/tech news, and a weekly opportunity spotlight — straight to your inbox.

This is 1 of 66 launches in technical interview prep platforms — see how it stacks up on momentum and crowding →

273 other launches read as similar to this one →

Details

External ID
1271240
Source
PH
Company
—
Product
Praxis
Website domain
producthunt.com
Launched
Oct. 7, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.33
Tags
Education, Developer Tools, Artificial Intelligence

Description

More interviews now let you code with an AI agent. PraxisAI is where you practice that. Fix real GitHub issues from SWE-bench (Django, Flask, SymPy) at the commit where they were still broken, in browser VS Code with an AI agent, a timer and a token budget. Hidden tests grade the fix. Free score + verdict every round; paid plans add a 6-dimension report, prompt coaching and full replay.

Enrichment

Niche
technical interview prep platforms
Vertical
Education
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
ai coding interview practice platform for software engineers
Manually corrected
False

Could you build this?

Partial The web interface and agent chat are vibe-codeable, but running on-demand isolated sandbox environments containing full SWE-bench repos, test runners, and token trackers requires complex container orchestration.

What it would actually take: The platform requires a secure remote execution backend using ephemeral Docker containers or microVMs (e.g., Firecracker, Fly Machines, or E2B) orchestrated via Kubernetes. It must mount pre-built git commits of complex Python projects, integrate browser-based VS Code (code-server), isolate execution, and securely run automated test suites against student patches under strict compute constraints.

Competitors

Other products that read as similar to this one — 273 launches clear the similarity bar, closest 8 shown.

Attention rank: #143 of 274 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 337 days after the earliest competitor.

Other launches for this product