Nicheloom

Market intelligence for builders — see what's gaining traction before it's crowded.

Open-source AI assistant for interview reasoning

Details

External ID
46923304
Source
HN
Company
—
Product
Open-source AI assistant for interview reasoning
Website domain
github.com
Launched
Feb. 7, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.10512129380053908
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

I built an open source desktop AI assistant after getting frustrated with how brittle most tools feel once questions go beyond basic Q and A.The goal was to explore whether an assistant could reliably handle interview style interactions such as system design discussions, multi step coding problems, and deeper follow up questioning without hiding behavior behind a closed SaaS.The assistant supports both cloud and local LLMs, uses a bring your own API key model, and is intentionally opinionated so behavior stays predictable under pressure.Most of the work went into managing context, follow ups, and failure cases rather than optimizing for fast single shot answers.I used Antigravity heavily during development to iterate quickly, then refined and validated the behavior manually.Repository https://github.com/evinjohnn/natively-cluely-ai-assistantHappy to answer questions about design tradeoffs, local versus cloud inference, or what worked and failed while building this.

Enrichment

Theme
ai-powered learning and skills training
Vertical
HR & recruiting
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
ai assistant for interview reasoning
Manually corrected
False

Could you build this?

Yes This is an Electron or Tauri desktop wrapper utilizing structured prompting and reasoning LLM APIs to conduct mock technical interviews.

Discussion

7 comments analyzed.

Competitors mentioned: Cluely

Concerns raised: Limited model support (only Gemini and Groq currently), Model agnosticism vs. opinionated assistant trade-off unclear

Feature requests: Support for more LLM providers/models, Curl-style requests for custom endpoints and local models, Nudge users to verbalize reasoning before writing code

Competitors

Other products that read as similar to this one — 156 launches clear the similarity bar, closest 8 shown.

Attention rank: #149 of 157 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 89 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.