Meet-Ting: The AI Assistant in Your Inbox That Finally Makes Scheduling Painless

2026-01-29 | ProductHunt | 228 Votes

30-Second Quick Judgment

What it does: Just CC an email address ([email protected]), and the AI handles the rest—reading the email, checking your calendar, suggesting times, and sending the invite automatically.

Is it worth it?: Yes. If you spend your day in the "When are you free?" / "Is Wednesday at 3 PM okay?" / "No, how about Thursday?" loop, Ting can save you 30 minutes a day. Plus, it’s completely free.

Comparison: While Calendly requires you to send a link for the other person to click (which can feel a bit robotic), Ting works directly within the email thread, acting like a human assistant coordinating for you.

Three Questions for Me

Is this for me?

Target Audience:

• Founders, freelancers, consultants, sales reps—anyone scheduling high volumes of meetings.
• Remote teams working across time zones (Ting detects time zones automatically).
• People who hate Calendly links and want a more natural way to book meetings.

Am I the target?: If you find yourself going back and forth on meeting times and spend more than an hour a week on coordination, then yes.

Use Cases:

• Scheduling a project sync with a client → CC Ting
• Setting up an interview with a candidate → CC Ting
• Coordinating cross-departmental meetings → CC Ting
• Too busy to even look at your own calendar → CC Ting

Is it useful?

ROI Judgment: Absolutely worth it. Zero cost, zero learning curve, immediate results. The only catch is you must use Gmail.

Why users love it

The "Wow" Factor:

• Zero Friction: No apps to download, no new tools to learn. Just CC and you're done.
• Mind-meld: If the other person also uses Ting, the two AIs talk to each other and finish the booking in seconds.
• Human-like: It replies in natural language, not cold, automated templates.

Real User Feedback:

"Ting replaced every scheduling tool I used before. No links, no explaining how to use it — just CC it and move on with your life." — ProductHunt User

"Meet Ting has made my life so much easier. No more back and forth emails and stressing about who can do what and when." — Trustpilot User

"The onboarding experience was smooth and effortless, just like scheduling my first calls." — ProductHunt User

For Independent Developers

Tech Stack

• Backend: Google Cloud
• AI/Models: Google Gemini
• Infrastructure: Member of Google AI Startup Program, received $350,000 in Cloud+Gemini Credits
• Source: EU-Startups

Core Implementation

Ting’s core is a combination of email parsing + Calendar API + LLM:

1. Reads the CC'd email content via Gmail API.
2. Uses Gemini to understand intent (who wants to meet, roughly when, for how long).
3. Queries the participants' Google Calendar availability.
4. Generates a natural language reply suggesting 2-3 time slots.
5. Once the user confirms, it automatically creates the Calendar Event and sends the invite.

Open Source Status

• Is it open source?: No, no public GitHub repository found.
• Similar Open Source Projects: CabbageMeet (voting-based), EasyAppointments (booking system).
• Build Difficulty: Medium. The core logic isn't complex, but handling email parsing edge cases and natural language fine-tuning requires significant debugging. Estimated 2-3 person-months.

Business Model

• Monetization: Currently free, focusing on user growth.
• Future Potential: Enterprise versions, premium subscriptions (e.g., Outlook support, team collaboration).
• Funding: Pre-Seed €289k + Google Credits $350k.

Big Tech Risk

Will Google/Microsoft do this? Highly likely. Google Calendar already has "Suggested Times"; adding an email CC trigger isn't a huge technical leap. Ting’s differentiation lies in:

• Cross-platform support (not limited to the Google ecosystem).
• A more natural conversational experience.
• The founder's social media background (potential for viral growth).

Safe in the short term; watch closely in the long term.

For Product Managers

Pain Point Analysis

• Problem Solved: The inefficient back-and-forth of scheduling meetings via email.
• Severity: High-frequency, essential need. Founder Dan Bulteel said he spent "30 minutes every morning rescheduling meetings."
• Core Insight: "Our calendars collectively dance like Tetris pieces every single day."

User Personas

Feature Breakdown

Competitive Differentiation

Key Takeaways

1. Zero-Friction Entry: Using an existing behavior (CCing) as a trigger removes the need to educate users.
2. Mind-meld Concept: Built-in network effect encourages referrals.
3. Natural Language: Avoids templates to make the interaction feel personal.
4. Relatable Slogan: "Surely AI can fix this" — very grounded and effective.

For Tech Bloggers

Founder Story

Dan Bulteel — Former Global Head of Social at TikTok/ByteDance and Head of Social Strategy at adidas.

The story is simple: One morning, looking at an inbox full of meeting changes, Dan texted his friend Oliver:

"Surely AI can fix this?" Two months later, Ting was live.

Dan has cited Rick Rubin as an inspiration for his entrepreneurial leap: "I've spent years at TikTok, ByteDance, adidas etc. but always too afraid to bet on myself."

The Team Includes:

• Mariana Prazeres (CTO): AI Engineer, researching LLMs and deep learning since 2017.
• Advisory Team: Experts from Netflix, Disney, Google, and TikTok.

Source: EU-Startups, TechRound

Controversies & Discussion Points

1. Privacy: AI reading emails—how is data security handled? (Official stance: only analyzes schedule-related content; no unrelated data is stored).
2. Sustainability: How long can it stay free? What is the monetization path?
3. Big Tech Threat: Google could integrate this overnight.
4. Network Effects: Can "Mind-meld" create a true bilateral market?

Hype Data

• ProductHunt: 228 votes (2026-01-29)
• Trustpilot: 4-star rating
• Funding: €289k Pre-Seed, oversubscribed
• Google Endorsement: Member of AI Startup Program

Content Suggestions

• Review Angle: Real-world test of 10 CCs to see how Ting handles complex edge cases.
• Comparison Angle: Ting vs. Calendly vs. manual AI drafting (ChatGPT).
• Trend Angle: The shift from "Link-based booking" to "Conversational booking."
• Profile Angle: Why a high-level TikTok exec pivoted to a calendar assistant.

For Early Adopters

Pricing Analysis

Note: Currently free, but the site warns that "features may be adjusted due to the increase in the number of users."

Quick Start Guide

• Setup Time: 1 minute
• Learning Curve: Zero
• Steps:
  1. Visit meet-ting.com and log in with Google.
  2. Authorize Google Calendar access.
  3. CC [email protected] in any email.
  4. Ting replies with time suggestions within minutes.
  5. Reply to confirm, and the invite is sent automatically.

Pitfalls and Gripes

1. Gmail Only: Outlook users are currently unsupported (official site says "coming soon").
2. 1:1 Only: Does not yet support multi-person coordination.
3. Early Bugs: The founder admitted it was "painful to hear user complaints about early bugs."
4. Response Speed: Usually within minutes, but can be slower during peak times.

Security & Privacy

• Data Storage: Only analyzes schedule-related content; no unrelated data is stored.
• Privacy Control: Revoke calendar access at any time.
• Compliance: UK-based company, GDPR compliant.

Source: Meet-Ting Official Site

Alternatives

For Investors

Market Analysis

• AI Virtual Assistant Market: $32B by 2026, $178.8B by 2034, 24% CAGR.
• AI Meeting Assistant Segment: $2.68B in 2024, $24.6B by 2034, 24.8% CAGR.
• Consumer Acceptance: 39% of users are comfortable with AI handling bookings.

Source: Precedence Research, Warmly AI

Competitive Landscape

Timing Analysis

Why now?:

1. LLM Maturity: Gemini and similar models make natural language understanding viable.
2. Remote Work Norms: Meeting volumes have surged, increasing coordination costs.
3. User Fatigue: Calendly links feel mechanical; users want a more natural experience.
4. Google Support: $350k in credits significantly lowers technical burn.

Team Background

• Dan Bulteel (CEO): Former TikTok/ByteDance Global Social Head → Understands viral growth.
• Mariana Prazeres (CTO): 7 years of AI research experience → Strong technical foundation.
• Cocreatd (Venture Studio): Background in Flight Story and Social Chain AG → Operational expertise.

Funding Status

• Raised: €289k (~$310k)
• Round: Pre-Seed (SEIS, oversubscribed)
• Valuation: Undisclosed
• Google Credits: $350k (2-year term)
• Source: Crunchbase

Conclusion

Meet-Ting gets one thing right: it solves the high-frequency pain of scheduling with the lowest possible friction.

Just CC an email to use it—no apps, no links. This is what a true AI assistant should be.

Resource Links

2026-01-30 | Trend-Tracker v7.3