Updated

For AI-tool builders

Customer research for AI tools, from the people who'll judge your launch.

AI launches get read harder than anything else on Hacker News and Reddit. The threads tell you which use case people want, what they won't trust an agent to do, and when they stop reading. Threadpull pulls the whole thread so you can read it before you write your own.

How do you research reactions to an AI product before launching?

Pull launch and reaction threads about similar AI products on Hacker News and Reddit, and sort the comments into who it's for, what people won't trust it to do, and what makes them dismiss it. In a 194-comment Show HN for a tool that lets AI agents draw on your screen, about 17 comments named a person it would help, while about 10 dismissed it as AI-written. In a 67-comment r/OpenAI thread, about 35 comments argued about banking instead of the RAM remark that started it. Threadpull pulls every comment so you can count.

Six research jobs for an AI-tool team

Find the use case people want

Builders pitch the workflow; commenters name the person who needs it. Collect those people.

Show HN · r/LocalLLaMA

Map the trust line

List what people will let an agent do alone, and where they want to approve each step.

Show HN · r/ChatGPT

Hear the "slop" test

See which phrases make readers decide a README or landing page was written by AI.

Show HN launches

Know what you're compared to

Every "isn't this just…" names a competitor or a built-in feature. Count them.

Show HN · r/artificial

Price against cancellations

Read why people cancel AI subscriptions before you set yours.

r/ChatGPT · r/ClaudeAI

Run a launch retro

Pull your own launch thread and sort the replies into fans, skeptics and the worried.

Your Show HN

What the Hacker News thread showed

A live Show HN for a tool that lets AI agents draw arrows and boxes on your screen, read comment by comment.

Show HN · pulled 1 Nov 2026

Show HN: Let your AI agents paint big arrows, boxes and text on your screen

news.ycombinator.com/item?id=50018817 ↗
Comments194
People141
Reply depth8

For your launch: lead with one concrete person (someone guiding an ageing parent, someone learning a complex app) and say plainly what the agent can and can't do.

Guiding non-technical users and learners

about 17 comments
"I would pay good money for something like this on iPad. It wouldn't even need to be agent-driven"lbreakjai
"Valid points, but this sounds extremely useful for learning complicated GUI applications like 3d modeling or media editing apps."alanbernstein

Dismissed as AI-written slop

about 10 comments
"I absolutely loathe this phrasing now. I don’t even know what part of it is good or notable."intended
"The project's README is pages upon pages of largely blank space."dr_kiszonka

Pointing is not informed consent

about 9 comments
"An arrow on the screen solves “where do I click”; it doesn’t solve “should this happen”"tilemarch
"I think this makes a lot of sense for tutorials, but permission prompts need different treatment."LoneRanger1024

Simpler fixes already exist

about 8 comments
"isn't the real fix here to just make the dialogue boxes themselves gain focus automatically?"satyanash

What the r/OpenAI thread showed

An r/OpenAI thread reacting to a remark from OpenAI's CEO that RAM is better used in data centers than for local AI, "from a global allocation perspective". Read comment by comment.

r/OpenAI · pulled 1 Nov 2026

In Defense is Sam. He's completely right about DRAM

www.reddit.com/r/OpenAI/comments/1xl5v0a/in_defense_is_sam_hes_completely_right_about_dram/ ↗
Comments67
People37
Reply depth15

For your messaging: telling people their own hardware is waste invites the joke, not the debate. More than half the thread argued about something else, and only 3 comments engaged with what was actually said.

Arguing about banking and wealth instead

about 35 comments
"The question isn't "Is the money being used" it is "how is the money being used"."Drukarshar

Turning his logic back on him

about 12 comments
"A Civic would be a much more efficient and optimal mode of transport. It makes no sense from a global allocation perspective."shdgw
"Using his own reasoning, he should give everyone in the world shares to OAI and unlimited access to OAI compute."lil_nosh_X

Local hardware still matters

about 7 comments
"My development workloads can consume virtually all available RAM, so having more memory remains extremely useful."Ithinkyouareabot
"Sure, it isn't as efficient for people to run local models, because we value things other than efficiency."MoonsterGoopter

He was quoted out of context

about 3 comments
"he didn't say people shouldn't have ram in general."Grasle

The threads in numbers

"Show HN: Let your AI agents paint big arrows, boxes and text on your screen" had 194 comments from 141 people when we pulled it on 1 Nov 2026. 137 of them (71%) were replies to other comments, nested up to 8 levels deep, and the median comment was 27 words long. The theme raised most, guiding non-technical users and learners, came up in about 17 comments (9% of the thread).

"In Defense is Sam. He's completely right about DRAM" had 67 comments from 37 people when we pulled it on 1 Nov 2026. 47 of them (70%) were replies to other comments, nested up to 15 levels deep, and the median comment was 23 words long. The theme raised most, arguing about banking and wealth instead, came up in about 35 comments (52% of the thread).

How we did this research

  • Pulled with Threadpull on 1 Nov 2026: every comment still live, at every reply level, from news.ycombinator.com/item?id=50018817.
  • Pulled with Threadpull on 1 Nov 2026: every comment Reddit returned, at every reply level, from reddit.com/r/OpenAI/comments/1xl5v0a/in_defense_is_sam_hes_completely_right_about_dram/. Reddit's own count was 69; it also counts comments that were deleted or removed, which can't be pulled.
  • Read and grouped into themes. A comment can raise more than one theme, so counts are approximate.
  • Every quote on this page is checked word for word against the export, under its author, each time the page is built.
The threads at a glance
Hacker Newsr/OpenAI
Score on the post421390
Comments19467
Top-level comments5720
Replies137 (71%)47 (70%)
People commenting14137
Comments by the original poster54
Deepest reply level815
Median comment length27 words23 words
Comments from the 5 most active people24 (12%)28 (42%)
Themes, by share of all comments
ThemeThreadCommentsShare
Guiding non-technical users and learnersHacker Newsabout 179%
Dismissed as AI-written slopHacker Newsabout 105%
Pointing is not informed consentHacker Newsabout 95%
Simpler fixes already existHacker Newsabout 84%
Arguing about banking and wealth insteadr/OpenAIabout 3552%
Turning his logic back on himr/OpenAIabout 1218%
Local hardware still mattersr/OpenAIabout 710%
He was quoted out of contextr/OpenAIabout 34%

The words they used

How many comments used each word or named each product. Counted from the export each time the page is built; a comment counts once however often it repeats the word. Variants count together, so "self-host" includes "self-hosted" and "self hosting".

The Hacker News thread

Words and phrases
Word or phraseCommentsShare
LLM116%
slop95%
tutorial84%
parent, mom or grandma74%
learn53%
consent or permission53%
trust42%
README42%
accessibility32%
Products and tools named
NameCommentsShare
Claude74%
Blender32%

The r/OpenAI thread

Words and phrases
Word or phraseCommentsShare
rich, wealth or billionaire1522%
bank1116%
cash913%
RAM or memory69%
global allocation46%
inflation46%
data center34%
local34%

Where the conversation happened

Comments per reply level. The deep chains are often where people disagree, and a skim of the top-level comments misses them.

Comments per reply level in the Hacker News thread. Top level: 57, Level 1: 46, Level 2: 36, Level 3: 26, Level 4: 13, Level 5+: 16.Top level57Level 146Level 236Level 326Level 413Level 5+16
Hacker News: 103 of 194 comments (53%) were top-level or direct replies, and the deepest chain went 8 levels. Half the comments arrived within 5.2 hours of the post, and 90% within 25 hours.
Comments per reply level in the r/OpenAI thread. Top level: 20, Level 1: 15, Level 2: 10, Level 3: 6, Level 4: 3, Level 5+: 13.Top level20Level 115Level 210Level 36Level 43Level 5+13
r/OpenAI: 35 of 67 comments (52%) were top-level or direct replies, and the deepest chain went 15 levels. Half the comments arrived within 1.1 hours of the post, and 90% within 3.9 hours.

What AI launch threads teach

Who is an AI tool really for?

Builders tend to pitch a workflow; commenters name a person. In the Show HN above, people named ageing parents and anyone learning complex apps like 3D modelling or media editing. Collect those people across a few threads, then lead your page with the one that comes up most.

What will people let an AI agent do on its own?

Commenters were happy for an agent to show where to click, as in a tutorial, but wanted permission prompts treated differently: about 9 comments raised consent. Say plainly which actions your agent takes alone and which wait for a person.

What gets an AI launch dismissed as slop?

About 10 comments in the Show HN above dismissed the project as AI-written, and their complaints were about the README and launch copy, not the tool. Keep launch copy short and specific, and cut the stock phrases readers now associate with generated text.

Why do AI launches draw "isn't this just…" replies?

Readers check whether something simpler or built in already solves the problem. About 8 comments here suggested a simpler fix, such as making dialog boxes take focus themselves. List every comparison people make and answer each one in your launch post.

What happens when an AI company's claim lands badly?

The r/OpenAI thread above shows it. A remark that RAM is better used in data centers than for local AI drew about 12 comments turning the same logic back on its speaker, about 7 defending local hardware for development, gaming and music work, and only 3 putting the remark back in context.

Why do reaction threads drift off topic?

Big-name threads attract arguments that have little to do with the product. In the r/OpenAI thread above, about 35 of 67 comments, more than half, were an argument about banking and wealth. Pull the whole thread, then count only the comments about what you're researching.

Where AI products get discussed

Threads worth pulling, by what you're trying to learn.

  • Show HNLaunch reactions from builders: trust, "slop", and what it replaces
  • r/LocalLLaMAPeople who run models themselves: speed, cost, privacy
  • r/ChatGPTEveryday users: what they use it for, why they cancel
  • r/ClaudeAICoding and writing workflows, limits and pricing
  • r/artificialGeneral reactions to AI products and news
  • r/SaaSFounders adding AI features, and what customers paid for

How to find threads like these

Searches that turn up the threads worth pulling. Open one, then pull it with Threadpull.

SearchWhereWhat it finds
"Show HN" agenthn.algolia.comAI agent launches and the trust questions they draw
"Ask HN" LLMhn.algolia.comHow people actually use models, and where they stop trusting them
site:reddit.com/r/ChatGPT "cancelled"GoogleWhy people cancel AI subscriptions
site:reddit.com/r/LocalLLaMA "why I switched"GoogleCost, speed and privacy reasons for moving to local models

Threads worth pulling next

Comment counts as of 2 Nov 2026.

The prompt for AI-product threads

Pull a thread, choose Send to AI, and sort the reaction into what to build, what to explain and what to stop saying.

These are every comment from a thread about an AI product.
1. Group them into fans, skeptics and the worried, with counts.
2. List the specific people or jobs commenters say it's for.
3. List each trust or safety concern, with a count.
4. List the products or built-in features it's compared to.
5. Quote the phrases that made people call it AI-written, if any.
6. Suggest a headline and the first three lines of a launch post.

AI tools FAQ

Does it work on Hacker News and Reddit?

Yes. Reddit threads work without an account. Hacker News threads and Reddit profiles need a free account.

Can I send the comments to ChatGPT or Claude?

Yes. Send to AI opens ChatGPT or Claude with the comments and your prompt in the chat box. Nothing is sent until you press send.

How big a thread can it pull?

Whole threads, every nested reply. A 400-comment Hacker News thread takes about half a minute.

Read your launch thread before you write it.

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