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Nimbia

For product teams: Nimbia runs AI screen-sharing onboarding calls that boost week-one activation and trial-to-paid conversion by 40% faster growth.

Built by Jonno Riekwel and Joris Machielse

Paid Last updated September 29, 2026

Visit website → Upvotes · 169

  • Overview
  • Alternatives
  • Team
  • FAQ

Nimbia is a Product Hunt listing on Launch Llama with 169 total upvotes, founded by Jonno Riekwel and Joris Machielse who joined in Aug 2026, compared against 6 alternatives.

Product Hunt listing

Listing status

169upvotes

Community score

Jonno Riekwel and Joris Machielse (Joined Aug 2026)

Founder

Compared against 6 alternatives

Market comparison

Nimbia

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Key Features

  • Join users in live screen-sharing calls with voice guidance
  • Control browser to show users steps instead of telling them
  • Conduct conversations in any language at any time zone
  • Listen and respond to user questions and interruptions

About

Nimbia is an AI that does screen-sharing calls to onboard and train new users of software products. It speaks, listens, and can actually click on the user's screen, so it can be truly helpful. The very first company using Nimbia is growing 40% faster because of it. When they ran an A/B test against their previous onboarding solution, Nimbia delivered 1.4X higher week-one activation and trial-to-paid conversion rates.

Use Cases

  • SaaS companies wanting to increase trial-to-paid conversion rates
  • Founders handling all onboarding alone without scaling capacity
  • Product teams whose documentation and self-serve aren't converting users
  • Global companies needing onboarding across all time zones continuously

Pricing

Pricing scales based on call volume and products covered. Custom quotes available after consultation.

View Nimbia pricing →

Verdict

In the competitive ai voice agents space, Nimbia stands out as a solid option. With 169 upvotes from the Launch Llama community, it's clearly resonating with founders. Nimbia is an AI that does screen-sharing calls to onboard and train new users of software products. If for product teams: nimbia runs ai screen-sharing onboarding calls that boost week-one activation and trial-to-paid conversion by 40% faster growth is a priority for your team, it's worth giving Nimbia a closer look.

FAQ

What is Nimbia?

Nimbia is an AI that does screen-sharing calls to onboard and train new users of software products. It speaks, listens, and can actually click on the user's screen, so it can be truly helpful. The very first company using Nimbia is growing 40% faster because of it. When they ran an A/B test against their previous onboarding solution, Nimbia delivered 1.4X higher week-one activation and trial-to-paid conversion rates.

Who should use Nimbia?

Nimbia is a strong fit if you are one of: • indie hackers and solo founders • early-stage startup teams If that does not sound like you, skim the features and site before committing time.

What problem does Nimbia solve?

Nimbia is built around this outcome: For product teams: Nimbia runs AI screen-sharing onboarding calls that boost week-one activation and trial-to-paid conversion by 40% faster growth. Use the site demo or docs to confirm it matches the bottleneck you are trying to remove.

What are the main features of Nimbia?

Nimbia includes: • Join users in live screen-sharing calls with voice guidance • Control browser to show users steps instead of telling them • Conduct conversations in any language at any time zone • Listen and respond to user questions and interruptions

How much does Nimbia cost?

Pricing scales based on call volume and products covered. Custom quotes available after consultation.

How does Nimbia use AI?

Nimbia uses AI as part of its workflow. Before relying on it for customer-facing or confidential work, confirm what data is sent to models, whether outputs are editable, and how you can review results.

Is Nimbia worth trying?

It promises: For product teams: Nimbia runs AI screen-sharing onboarding calls that boost week-one activation and trial-to-paid conversion by 40% faster growth. A concrete use case founders care about: SaaS companies wanting to increase trial-to-paid conversion rates. It has 169 community upvotes on Launch Llama, which is a signal of interest — not a guarantee it fits you. Worth trying if that problem is painful for you this week; skip it if you only need a one-off workaround you already have.

How do I try Nimbia?

Open the official Nimbia website from this page, run the smallest real task you care about (not a toy demo), and decide in one session whether it removes friction. Check pricing and data/privacy terms before you put production work into it.

Founder Guides

  • How to use Nimbia to generate more leads
  • How to use Nimbia to save time

Alternatives

  • ScreenDub

    For product teams: ScreenDub turns screen recordings into narrated videos and guides in 70+ languages so you ship demos without reshooting.

  • Nivon

    Nivon helps support teams automate customer inquiries by training AI agents on your knowledge base, docs, and past conversations to deflect up to 80% of tickets while maintaining your team's voice.

  • Naoma AI Demo Agent V2

    For B2B SaaS teams: Naoma AI delivers personalized video product demos 24/7 so prospects book qualified meetings without sales calls.

  • Naoma AI Demo Agent

    For B2B SaaS teams: Naoma delivers personalized, live AI video demos 24/7 in-browser, qualifying prospects and routing them to sales or checkout automatically.

  • LiveDemo

    For GTM teams: LiveDemo creates interactive product demos without code so you personalize pitches by industry and track engagement across sales, marketing, and onboarding.

  • Pebbles Ai

    For B2B revenue teams: Pebbles AI orchestrates strategy, lead generation, outreach, and sales in one workspace so you execute campaigns without tool switching.

Ask AI

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For agents

llms.txt · llms-full.txt · ai.txt · Live fact sheet · Full catalog (.md) · Endpoint index · API spec · REST access · Agent server · Server manifest · Server discovery

Nimbia · Website

  • Founded by Jonno Riekwel and Joris Machielse
  • Listed August 2026
  • Updated September 29, 2026

AI Voice Agents