Tavolen

The description states that Tavolen is a mobile-first web application built with Node.js and Express, using SQLite for storage. It enables users to create temporary tables for round-table events, where participants can add public profiles (via GitHub OAuth or manual entry) and download rosters as vCards.

• The product requires no installation.
• Tables are automatically deleted after 24 hours.
• Profiles are stored only temporarily and do not include sensitive data like email addresses or photos.
• It supports GitHub profile import with immediate OAuth token revocation.
• LinkedIn import exists but is disabled for ordinary users due to pending approval.

Inference The product appears to be a lightweight, privacy-focused tool for event networking, likely aimed at technical communities or developer meetups.

The author positions Tavolen as a solution to the awkwardness of post-meeting introductions, replacing traditional methods like “working their way around the table finding one another on LinkedIn.”

• The tagline: “A temporary, opt-in roster that helps everyone at a round table stay connected.” reflects this intent.
• The original prototype focused solely on LinkedIn.
• During Build Week, it expanded to support multiple platforms (GitHub and manual entry), while maintaining its core model of temporary sharing.

Inference Tavolen evolved from a niche tool (LinkedIn) to a broader platform (multi-source), driven by the author’s decision to prioritize GitHub for developer events and avoid long-term data retention.

The description implies that Tavolen targets attendees at round-table events, particularly those in technical or developer communities. The author notes that GitHub profile import was prioritized for such settings.

• No explicit customer segmentation beyond “event attendees” is provided.
• The tool does not appear to target organizations or recurring groups — it’s designed for one-time use during meetings or conferences.

Inference The ICP likely includes individuals attending developer meetups, hackathons, or informal tech gatherings where short-term networking is valuable.

There is no evidence in the description of a business model or pricing structure. The tool is described as requiring no installation and creating no permanent accounts — suggesting it may be free to use, but this is not stated explicitly.

Inference It appears to operate without a formal business model at this stage. If monetized, it would likely be through freemium or usage-based models, but there is no evidence of such plans.

Tavolen is built using Node.js, Express, SQLite, and integrates with GitHub OAuth and Codex/GPT-5.6 for development. It uses short-lived OAuth transactions to ensure privacy and security.

• Profiles are imported via GitHub OAuth without storing tokens.
• Manual profile entry is supported as a fallback.
• The system supports vCard exports.
• Deployment was done securely, with OAuth configuration managed independently.

Inference The technical stack suggests a minimal viable product (MVP) built quickly using modern tools, with strong emphasis on user privacy and secure data handling.

There is no evidence of traction, customers, or adoption beyond the author’s own account. No metrics, usage statistics, or feedback are provided.

Inference The tool remains in early-stage development, likely still in prototype or beta form. It has not yet demonstrated real-world usage or market validation.

There is no evidence of competitors mentioned in the description. The author does not reference similar tools or platforms for event networking or temporary roster management.

Inference The competitive landscape is unknown, but given its focus on temporary, opt-in sharing and privacy, it may overlap with tools like LinkedIn’s networking features or event apps — though none are named.

Several key risks and red flags emerge from the lack of evidence:

• No traction or adoption — The tool is described only in concept and prototype form.
• Limited platform support — Only GitHub is fully functional; LinkedIn import is disabled.
• Single-person team — The project was built by one individual, raising questions about scalability and long-term maintenance.
• Unverified claims — All descriptions are self-reported and unverified.

Inference The project lacks commercial viability or traction. Its success depends on user demand, which is not evidenced here.

1. Has the tool been tested with real users at events?
2. What specific feedback have you received from attendees who tried it?
3. Are there any plans to expand beyond GitHub and manual entry?
4. How do you intend to scale or monetize this product if it gains traction?
5. What are your thoughts on expanding into other platforms (e.g., LinkedIn, Twitter)?
6. Do you have any data on how many people use the tool per event?