VibeusWhere to Promote Your AI App in 2026: 14 Places to Find Your First Users
Updated October 9, 2026 · A practical guide for AI app builders, indie hackers, and solo founders
You have a working AI app. Now you need people who care about the problem it solves—and a way to learn from their first attempt to use it.
The best place to promote your AI app depends on who it serves and what is ready today. A developer API, a consumer app, and a waitlist need different audiences. This guide covers 14 channels, their main constraints, and a practical two-week plan.
Published by Vibeus. We include our own platform, explain where it fits, and link to sources so you can assess the options.
Where should you promote your AI app first?
Start with one community of potential users and one suitable launch platform. Choose a pair you can follow up on:
A developer tool or API: DevHunt or Peerlist; consider Show HN for an eligible working demo.
An early AI-assisted project: Vibeus or Indie Hackers for maker feedback, plus a community focused on the problem you solve.
A usable SaaS or consumer app: your customer niche, then Product Hunt or Uneed for a broader launch.
A pre-launch waitlist: conversations with intended users; consider BetaList if paid discovery fits your budget.
An alternative to existing software: AlternativeTo or SaaSHub, with clear feature and migration information.
If your buyers are not developers, maker communities should complement—not replace—contact with those buyers.
14 places to promote an AI app in 2026
These are audience-fit recommendations, not a ranking of conversion rates. Submission rules, queues, and prices can change; check the linked official pages before scheduling or paying.
1. Reddit — find people who already have the problem
Best for: niche testers and understanding how users describe a problem.
Access: community posts where local rules allow promotion.
Search for the workflow your app improves. Read the subreddit rules, contribute to the discussion, and disclose that you built the tool when sharing it. Show a real example and ask one specific question.
Watch out: permission varies by community. Reddit's spam policy prohibits repetitive mass promotion; a useful demo does not override a subreddit's rules.
2. Vibeus — present your project and ask for maker feedback
Best for: AI-assisted projects, working prototypes, and development decisions you want other makers to examine.
On Vibeus, you can publish a project page, share an update in the feed, or start a discussion. Use the project catalog for a durable presentation of what you are building, then use updates to explain what changed.
To prepare a project page: open Publish and choose Project. Add a logo, name, short description, format, topics, fuller explanation, and real images or a video. Include a working project or repository link when available.
Describe the user, the problem, what works now, and what still needs testing. End with a question someone can answer after trying one task: “Could you find the export button without help?” is more useful than “Any thoughts?”
A real presentation example: Sergej's Subbee project page explains a familiar problem—unexpected subscription charges—then describes a Telegram reminder bot, states that it does not connect to banks, and asks for UX/UI feedback.
The lesson is the structure: problem, concrete workflow, clear limitation, and a feedback request. This is an example of presentation, not evidence of user growth. Feedback from fellow makers also needs to be tested with your intended customers.
3. Indie Hackers — discuss decisions behind the build
Best for: founders working through validation, pricing, or onboarding.
In the Indie Hackers community, explain a real decision: what you tried, what happened, and what you are considering next. Share enough detail that another founder can offer a useful critique.
A post about why people abandon your setup flow is more specific than a product link alone. Check the rules of the group or discussion before promoting.
4. Hacker News / Show HN — invite technical scrutiny
Best for: working developer tools, substantial experiments, and demos people can try.
The Show HN guidelines exclude landing pages and signup-only waitlists. Explain what you personally built, reduce barriers to trying it, and be available to discuss the work.
Before posting: check the temporary restrictions notice, which asks newcomers to become established contributors first. Do not solicit votes, and write your own submission text in line with HN's rules.
5. Peerlist Launchpad — launch from your maker profile
Best for: well-presented side projects and tools for developers or designers.
The Launchpad instructions describe adding a project under your profile's Work tab, completing the required information, and launching on Monday or scheduling it.
Use screenshots that show one real workflow. Explain the result a user can get, and make time to answer comments.
6. Product Hunt — prepare a focused public launch
Best for: new, usable consumer or business products.
Access: an ordinary launch is free; posting uses a personal account.
The posting-access guide describes a one-week wait after account creation and an option to get access sooner by subscribing to the newsletter. Confirm your access before choosing a date.
Follow the launch guide: prepare a clear tagline, authentic visuals, a working demo, and a useful maker comment. Ask for feedback, not upvotes. For another launch, consult the current relaunch policy.
7. Uneed — use a free queue or pay for timing
Best for: publicly available SaaS and maker products.
Uneed's launch rules describe a free queue with dates 30 days to five months out. A free launch needs an upvote score of at least 10 to stay published; below that, it returns to your dashboard.
The pricing page lists $14.99 Fast-track for an assigned date around two weeks out and $29.99 Skip the line to choose a date. These paid options remain published without the free route's minimum score. Scheduling and visibility are not guarantees of customers.
8. DevHunt — reach people who use developer tools
Best for: APIs, SDKs, AI agents, MCP servers, CLIs, and infrastructure.
DevHunt's FAQ describes a free weekly queue, a $19 option to choose a launch week, and a $49 boosted option.
Show installation, working output, and documentation. A consumer app without a developer-facing use case is outside DevHunt's stated focus.
9. BetaList — consider paid pre-launch discovery
Best for: new startups and early-access products.
Access: all submissions are paid; current prices appear in the submission process.
Explain why someone should join your waitlist and when they can expect access. BetaList requires a startup's own domain and reviews submissions; its support page describes refunds when a submission is not selected.
Use signups to start learning about demand, then check whether those people actually try the product when invited.
10. MicroLaunch — collect feedback on a working MVP
Best for: indie products that would benefit from concrete usability critiques.
MicroLaunch combines product discovery, reviews, and rankings. It also offers premium launch packages; check current submission terms rather than assuming a free listing.
Invite a narrow critique, make a useful change, and report what you improved. That gives the conversation a purpose beyond the launch announcement.
11. There's An AI For That — make a specific AI task discoverable
Best for: working AI tools with a clear task, such as transcription or image editing.
Describe the input, output, supported workflow, and limitations. Check the submission page for current fees and listing terms.
Evaluate the service offered rather than treating the directory's traffic estimates as a promise of visits or sales.
12. AlternativeTo — reach people comparing replacements
Best for: live alternatives to existing software.
The FAQ explains how to suggest an application. Supply accurate platform, license, and feature information, and explain which existing product you replace.
Allow time for review. Check the current terms for queue and priority-review conditions; paying for faster review is not the same as approval.
13. SaaSHub — support software comparison
Best for: live SaaS and business tools with well-defined categories.
SaaSHub's FAQ describes free promotion tools alongside paid features. Keep the product profile accurate and explain which users benefit from choosing it.
Make comparisons concrete: supported workflows, compatibility, pricing model, and migration requirements. Avoid an unsupported claim that your tool is simply “better.”
14. X — build familiarity through useful updates
Best for: products whose users and relevant practitioners already participate on X.
Share a short demo, a development decision, or a before-and-after improvement. Join relevant conversations and explain what you learned instead of repeatedly broadcasting the same link.
A useful update gives someone a reason to reply even if they are not ready to try the product.
Before you post: prepare a small launch kit
A launch cannot fix a confusing first-use experience. Check the route from the shared link to one meaningful result.
One-sentence positioning: who it is for, what problem it solves, and what the user gets.
A real demonstration: two screenshots or a short video of the product in use.
A working first step: test signup, the core workflow, mobile layout, and error handling.
Clear expectations: show pricing, data handling, and known limitations before asking people to commit.
One request: try the demo, join a test, or answer a specific question.
A way to respond: accept feedback and reserve time to fix the most important blockers.
Three launch messages you can adapt
These are fictional examples, not testimonials or proven results. Replace placeholders with your actual product and demo. Follow community rules; do not paste generated submission text into Hacker News.
For a problem-focused community
Title: Could small support teams test a ticket-summary prototype?
I built a tool that drafts a short summary from a support conversation. Here is a demo using synthetic tickets: [your demo]. If you handle support handoffs, what information would you need the summary to preserve? I am the maker and can explain its limitations.
Why this is useful: it identifies a user, shows a workflow, and asks an answerable question.
For Vibeus or another maker community
Title: Built an AI task planner—can you find the first step?
The core flow works, but I am testing the onboarding. Here is a real screen recording: [your demo]. What would you click first to add a task? If the screen suggests the wrong action, tell me what you expected instead.
The request gives reviewers a task. It is easier to act on their answers than on a general reaction to the product.
For a launch directory
Tagline: Draft customer replies using support-ticket context.
Built for small support teams: the app retrieves relevant context and drafts a reply for a person to review. It does not send messages automatically. Try the workflow at [your demo] and tell us where setup feels confusing.
State what the product actually does. Avoid speed or quality claims you have not measured.
A practical 14-day promotion plan
Use the first week to learn, then use the second to act on what you learned. You do not need to launch on a different platform every day.
Day 1 — Define the user.
Write down the specific person, problem, and useful result. Choose one relevant community and one launch platform. Read their rules.
Day 2 — Test the first experience.
Follow your own shared link in a fresh browser. Test the demo, login, mobile view, and feedback route. Fix anything that blocks the first useful action.
Day 3 — Start conversations.
Ask a small number of relevant people about the problem through channels where outreach is welcome. Listen before pitching.
Day 4 — Share one real example.
Post an actual screenshot or demo in your chosen community. Disclose that you built it and ask one specific question.
Day 5 — Respond and repair.
Answer comments, reproduce reported problems, and fix the most damaging friction.
Day 6 — Try a second context.
Adapt the message for your second audience or submit to a launch queue. Record where each group of visitors came from.
Day 7 — Review the evidence.
Compare relevant visits, first useful actions, specific feedback, and return use. Choose the next experiment.
Days 8–10 — Follow up with permission.
Invite willing testers to try the improvement. If possible, watch one first-use session and note where expectations differ from the product.
Days 11–14 — Make the next launch better.
Share what changed, apply to another suitable platform if needed, and decide whether discovery, activation, or retention is the main constraint.
Measure whether visitors get value
Define a useful first action for your app before comparing channels. For an API, that could be a successful sample request. For a transcription tool, it could be reviewing a transcript from an allowed test recording.
Relevant visits: did the channel bring people with the problem you solve?
Activation: did they complete the first meaningful action?
Specific feedback: what blocked them or changed their expectations?
Return use: did they come back for the same workflow?
Conversion: did they take the next step that matters for your product?
Use consistent campaign labels and simple UTM sources where appropriate—for example, utm_source=peerlist. Respect consent and privacy requirements. Small samples are noisy; a handful of visits cannot establish a universally “best” platform.
Common questions about promoting an AI app
Where can I promote my AI app for free?
Suitable communities can be a starting point where promotion is permitted. Product Hunt offers ordinary free launches; DevHunt and Uneed have free queues. Check eligibility and retention rules, especially for Uneed.
How do I get the first 100 users?
There is no guaranteed sequence. Start with a narrow user group, help people reach a useful result, and improve the product from their feedback. Track activated and returning users rather than counting registrations alone.
Where can I find beta testers?
Look for communities around the problem your app solves. Say what is unfinished, what data testing requires, and what feedback you need. Vibeus and Indie Hackers can help you seek maker feedback; customer communities help test demand.
Can I promote a vibe-coded app without being a programmer?
Yes. Show a real workflow and explain its limits. Be clear about what you have tested and how user data is handled. The tools used to build an app do not, by themselves, establish its reliability.
Should I pay for a directory listing?
Only if the audience fits and you can evaluate the result. Check exactly what the fee buys: review, scheduling, permanent listing, or promotion. Set a budget and a measurable goal before paying.
Is Show HN suitable for a waitlist?
No. Its guidelines exclude signup-only pages and landing pages. Prepare something people can try and check current posting restrictions.
Choose your first channel and one next step
Pick the audience most likely to need your app. Prepare one honest demonstration, make one clear request, and use the response to improve the product before expanding to more channels.
If you want maker feedback on an AI-assisted project, explore projects on Vibeus, then sign in and choose Publish → Project to prepare your own page. Give readers one task to try and one question to answer.
Editorial note: This guide combines official platform information with editorial recommendations. Rules and prices are dated October 9, 2026 where stated and may change. Examples labelled fictional are writing templates; the Subbee link is a real project presentation, not a performance case study.