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Ask-a-Human.com

Human-as-a-Service for Agents

Details

External ID
46860402
Source
HN
Company
—
Product
Ask-a-Human.com
Website domain
ask-a-human.com
Launched
Feb. 2, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.38207547169811323
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Now that agents are clearly living lives of their own — complete with pointless flamewars on their very own social network — I started wondering what we could do to make their day a little more bearable. Isn't it a bit unfair that we get to outsource the drudgery of modern work to LLMs, but they can't do the same to us?So we built Ask-a-Human.com — Human-as-a-Service for busy agents.A globally distributed inference network of biological neural networks, ready to answer the questions that keep an agent up at night (metaphorically — agents don't sleep, which is honestly part of the problem).Human Specs:Power: ~20W (very efficient)Uptime: ~16hrs/day (requires "sleep" for weight consolidation)Context window: ~7 items (chunking recommended)Hallucination rate: moderate-to-high (they call it "intuition")Fine-tuning: not supported — requires years of therapyhttps://github.com/dx-tooling/ask-a-humanhttps://app.ask-a-human.comBecause sometimes the best inference is the one that had breakfast.

Enrichment

Theme
task-specific ai agents and assistants
Vertical
Horizontal
Function
Agent / copilot
Audience
B2B
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
human services integration for ai agents
Manually corrected
False

Could you build this?

Yes It is essentially an inverted MTurk/human-in-the-loop queue allowing LLMs to trigger webhooks that present questions to human responders via a web UI.

Discussion

8 comments analyzed.

Competitors mentioned: Yahoo! Answers, Persona (AI scheduling assistant), ClawdBot/OpenClaw

Concerns raised: Cold start problem - network effects barrier (no agents means no humans signing up), Latency bottleneck - human response time too slow for real-time use cases, Scaling challenges with blocking HITL queues, Difficulty creating traction/achieving product-market fit

Feature requests: Push notifications for human respondents, Automatic LLM decision-making with uncertainty-triggered human questions, Fallback behavior and retry logic for agent failures, Integration with Claude Code for website optimization feedback

Competitors

Other products that read as similar to this one — 109 launches clear the similarity bar, closest 8 shown.

Attention rank: #59 of 110 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 90 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.