Table of Contents

Knockin’ Investment Report

Knockin’ Investment Report

Category: AI personal profiles, digital business cards, and lead capture

Company Stage: Early-stage product within Lucius AI

Founder or Founders: He Zhao, identified on Product Hunt; apparently Felix Zhao, CEO of Lucius AI, but the name variation is not explicitly reconciled in public materials

Headquarters: Mountain View, California, based on the founder’s public profile; corporate headquarters not independently verified

Funding: $3 million raised by parent company Lucius AI, company-reported

Business Model: Individual subscriptions with usage credits; potential future team and enterprise plans

Product Hunt Launch Date: September 8, 2026

Report Date: September 11, 2026

Investment Metric	Assessment
Venture Potential	55/100
Unicorn Path	Conditional
Valuation Attractiveness	Not Assessable
Evidence Confidence	53/100
Final Decision	Watch

Executive Summary

Knockin’ is a web-based “AI business card” that allows founders, freelancers, creators, and salespeople to publish an interactive profile. Visitors can ask questions about the profile owner, receive AI-generated answers based on supplied materials, submit contact information, and book meetings through Google Calendar (official website).

The product offers more utility than a static link-in-bio page or conventional digital business card. Its strongest feature is the combination of conversational discovery, lead context, and meeting scheduling: instead of merely showing links, it can identify what a visitor wants to know and preserve that information for follow-up.

The company behind Knockin’ is Lucius AI, which also sells a broader AI-teammate platform for customer support, sales, community operations, and organizational knowledge. Lucius reported raising $3 million from Future Capital Discovery Fund in May 2026 (Lucius LinkedIn). That financing and the reusable technology behind Lucius provide more company-level substance than Knockin’s limited launch history alone.

However, Knockin’ has no publicly disclosed revenue, paying-user count, retention, conversion, acquisition cost, or usage data. It ranked fifth on Product Hunt on September 8, but had only approximately 337 followers and one review shortly after launch. These indicate initial attention, not commercial validation (Product Hunt; daily leaderboard).

The decision is Watch. Knockin’ appears to be a polished and reasonably priced product, but its current individual subscription model, crowded competitive environment, low switching costs, and unverified traction do not yet support formal due diligence. The venture case becomes more credible if Knockin’ evolves into a team-based lead-capture and relationship-intelligence product or serves as an effective distribution wedge for Lucius AI’s higher-value enterprise platform.

Product Overview

A typical professional profile, portfolio, or digital business card gives every visitor the same static information. It does not answer follow-up questions, qualify intent, or preserve conversational context. Knockin’ attempts to solve this by turning the owner’s biography, links, documents, work, and instructions into an interactive AI profile.

According to the company, users can:

Upload professional knowledge and content.
Configure the AI’s tone, behavior, and disclosure boundaries.
Share the profile through a URL, QR code, email signature, widget, or wallet pass.
Allow visitors to ask questions.
Capture visitor details and expressed interests.
Connect Google Calendar to show availability and create meetings.
Review conversations and continue follow-up with additional context.

The privacy policy confirms that Knockin’ may process uploaded documents, websites, AI instructions, visitor questions, engagement signals, contact details, calendar availability, event information, and OAuth tokens. It says private profile knowledge and conversations are not used to train general-purpose AI models (privacy policy). The terms state that the service uses the OpenAI API and warn that AI answers may be inaccurate or misleading (terms).

Knockin’ currently operates through the web. No independently verified native mobile application was found.

Published pricing is:

Starter: $6 per month annually or $8 monthly; 800 credits.
Growth: $12 per month annually or $15 monthly; 1,600 credits.
Scale: $30 per month annually or $35 monthly; 4,000 credits.

The website also offers initial setup without a credit card. The exact free-plan limits and the number of AI interactions represented by each credit are not clearly explained on the public pricing page (pricing).

Founder and Team Assessment

The Product Hunt launch identifies the founder as He Zhao. Lucius AI’s public profiles identify its founder and CEO as Felix Zhao, whose LinkedIn identifier includes “zhaohe.” These appear to be the same individual, but the company does not explicitly reconcile the English and Chinese name order, so this remains an identification caveat rather than a fully verified fact.

Felix Zhao’s public profile says he has led Lucius AI since August 2024 and previously spent more than three years as COO of Momen Technologies, a no-code application-development platform. It also lists a role directing a generative-AI joint laboratory at the Advanced Institute of Information Technology, Peking University (Felix Zhao).

This background indicates relevant commercial and product experience in low-code SaaS, customer operations, and applied AI. Public evidence of a previous exit or scaled venture outcome was not found.

Lucius AI’s LinkedIn page lists a company-size band of 11–50 employees but showed eight associated profiles when retrieved. LinkedIn figures are self-reported and may include contractors, former employees, or incomplete records; exact full-time headcount is therefore not verified (Lucius AI).

The broader Lucius product has named testimonials from Momen and Dubbing AI. These are company-published references rather than independently documented contracts, revenue relationships, or case studies. Founder commitment appears likely from the active launch and company role, but the resources dedicated specifically to Knockin’ are unknown.

Founder Assessment: Relevant AI and commercial operating experience, but team composition, Knockin-specific staffing, and previous company outcomes require verification.

Market Opportunity

The initial customer segment is individual professionals who regularly convert profile visits or networking encounters into commercial conversations: consultants, founders, recruiters, creators, real-estate professionals, and business-development staff.

The adjacent market is demonstrably large. Linktree reports more than 70 million creators using its link-in-bio platform, while Blinq reports more than four million digital-business-card users across 500,000 companies (Linktree; Blinq). These figures validate widespread use of professional profile links, but they do not demonstrate demand for conversational AI or paid conversion.

An illustrative bottom-up scenario is:

Reachable paying users: 700,000–3.5 million, equivalent to 1%–5% of Linktree’s reported user base.
Annual revenue per user: $72–$360 at Knockin’s published annual prices.
Implied annual revenue opportunity: approximately $50 million–$1.26 billion.

This is an analyst scenario, not a forecast. It likely overstates the near-term opportunity because it assumes significant paid conversion and does not account for overlap among creators, professionals, and digital-card users.

A stronger expansion opportunity lies in team accounts. Sales organizations could centrally manage profiles, route leads, synchronize conversations with CRM systems, standardize messaging, and analyze engagement across employees. That would increase annual contract value and reduce reliance on low-priced individual subscriptions.

Traction and Growth Signals

Knockin’ ranked fifth on Product Hunt on September 8, 2026. Shortly after launch, the listing showed approximately 337 followers, a 4.0 rating, and one review (Product Hunt; leaderboard).

The product is functional enough to support account login, AI profiles, published pricing, and Google Calendar permissions. The website and legal documents were updated for the launch, indicating active development.

Lucius AI reported raising $3 million in May 2026, backed by Future Capital Discovery Fund. This is a company-reported financing; no independently verified valuation or complete financing terms were found (Lucius announcement).

No reliable public information was found for Knockin’s:

Registered or monthly active users.
Paying subscribers.
Free-to-paid conversion.
Conversation or meeting volume.
Revenue or growth.
Retention and renewal.
Organic or paid acquisition.
Customer acquisition cost.
Post-launch engagement.

Traction Assessment: A functioning launch backed by a funded parent, but product-level commercial traction is unverified.

Competitive Position

Direct competition includes digital-business-card providers such as Blinq, HiHello, and Popl. Linktree and simple personal websites are indirect alternatives. Delphi is a higher-priced adjacent competitor that creates conversational “Digital Minds” trained on an individual’s content.

HiHello offers a free personal plan, a $6-per-month professional plan, and team features including analytics, contact enrichment, templates, SSO, and directory synchronization (HiHello pricing). Delphi offers a free plan, a $79-per-month Builder plan, and a $299-per-month Scaler plan with deeper knowledge, voice, workflow, CRM, and branding functionality (Delphi pricing).

Knockin’ occupies a middle position: more conversational than a standard digital card, simpler and less expensive than a full digital-persona platform. Its attractive design and low entry price may support adoption.

Defensibility is weak today. AI retrieval, profile generation, lead forms, and calendar booking are broadly available capabilities. There is no verified proprietary model, network effect, unique distribution partnership, or meaningful data moat. Historical visitor conversations might create account-level switching costs, but users can maintain a parallel profile elsewhere.

If the largest digital-card or link-in-bio platform launched conversational profiles within six months, customers would remain only if Knockin’ produced materially better answers, higher meeting conversion, or superior relationship memory. None of those advantages has been quantified.

Defensibility Assessment: Low

Business Model and Economics

Knockin’ uses subscription pricing with monthly credit allowances. Annual contract values currently range from $72 to $360 for individuals. This is affordable but creates a high-volume requirement for meaningful revenue.

The web-based distribution model avoids mandatory mobile app-store commissions. Likely variable costs include OpenAI API usage, retrieval and embedding infrastructure, storage, email delivery, calendar API operations, security, and customer support. Payment-processing costs will also apply, although the payment provider is not publicly identified.

Credit limits may help align inference costs with revenue. The critical unknown is whether users consume enough AI interactions to find the product valuable without generating excessive model costs. Gross margin is not assessable without average credit usage, model mix, storage expense, and support load.

Expansion revenue could come from additional credits, custom domains, voice interactions, CRM integrations, team administration, analytics, and enterprise controls. Lucius AI’s broader platform already offers usage-based plans from $19 to $499 per month, suggesting that Knockin’ could feed customers into higher-value workflows (Lucius pricing).

Unicorn Path

Using a 10× ARR multiple for a fast-growing subscription software company:

Required ARR = $1 billion ÷ 10 = $100 million

At Knockin’s current annual prices:

Starter at $72: approximately 1.39 million paying subscribers.
Growth at $144: approximately 694,000 paying subscribers.
Scale at $360: approximately 278,000 paying subscribers.
At an illustrative blended ARPU of $150: approximately 667,000 paying subscribers.

Achieving that scale with individual subscriptions would require exceptional global distribution and low churn in a market where strong free alternatives exist. A more credible route would involve team plans—for example, 10,000 organizations paying an average of $10,000 annually—or cross-selling users into Lucius AI’s broader sales, support, and customer-context platform.

Required strategic changes include team administration, CRM integration, enterprise identity management, compliance certifications, performance analytics, multilingual operation, and defensible relationship intelligence.

Unicorn Path: Conditional

Valuation Assessment

Lucius AI publicly reported a $3 million financing backed by Future Capital Discovery Fund. No round type, post-money valuation, SAFE cap, investor ownership, liquidation preference, or Knockin-specific capitalization was disclosed.

Revenue, growth, retention, and gross margin are also unavailable, preventing a responsible financing-comparable or revenue-multiple analysis.

Valuation Attractiveness: Not Assessable

Required information includes current ARR, revenue by product, growth, subscriber cohorts, gross margin, burn, runway, cap table, round terms, option pool, investor rights, and whether Knockin’s intellectual property is owned directly by Lucius AI, Inc.

Key Risks

No verified paid adoption, retention, or revenue for Knockin’.
Low pricing requires hundreds of thousands of subscribers for venture-scale revenue.
Strong free and established competition from digital-card and link-in-bio platforms.
Features can be replicated using commodity models, retrieval, and scheduling APIs.
Infrequent networking use could produce weak subscription renewal.
AI inaccuracies could misrepresent the profile owner or create reputational harm.
Sensitive profile, visitor, conversation, and calendar data increase privacy exposure.
Product dependency on OpenAI and Google Calendar.
Knockin’ may receive limited strategic attention within the broader Lucius portfolio.
Founder-name presentation, legal structure, and product-specific ownership require clarification.

Final Assessment

Venture Potential: 55/100

Category	Score
Market Size and Expansion Potential	13/20
Traction and Growth Evidence	6/20
Founder and Team	10/15
Product Strength	7/10
Distribution Potential	8/15
Business Model and Economics	7/10
Defensibility	4/10
Total	55/100

The strongest elements are accessible pricing, clear user value, and potential integration with Lucius AI’s broader platform. The weakest are limited product-level traction, uncertain usage frequency, low differentiation, and the high subscriber volume required.

Evidence Confidence: 53/100

Pricing, features, legal operator, privacy practices, Product Hunt activity, and the founder’s public employment history are verifiable. Funding is company-reported. Customer references and product benefits are also company-reported. Revenue, customer counts, retention, unit economics, valuation, cap table, and Knockin-specific team size remain unavailable.

Final Decision: Watch

The product is promising but currently resembles an early consumer/prosumer SaaS experiment more than a validated venture-scale company. The funded parent and potential enterprise expansion justify continued monitoring, but there is not enough commercial evidence for formal due diligence.

Upgrade Conditions

$1 million or more in verified Knockin ARR.
At least 10,000 paying subscribers or credible team contracts.
Six-month paid retention above 70%.
Evidence that conversational profiles materially improve meeting or lead conversion.
Gross margin above 75% after inference and support costs.
Repeatable acquisition with acceptable payback outside Product Hunt.
Team administration, CRM integration, and enterprise security features.
A demonstrated data or distribution advantage over digital-card incumbents.

Downgrade Conditions

Weak free-to-paid conversion.
High churn after the first networking or event use case.
Digital-card incumbents releasing equivalent AI profiles.
AI-generated misrepresentation or material privacy incidents.
Inference costs increasing faster than subscription revenue.
Product activity declining in favor of Lucius’s core enterprise platform.
Material discrepancies in financing or ownership claims.

Questions for Further Diligence

What are Knockin’s current MRR, paying subscribers, and monthly revenue growth?
How many profiles are active weekly, and how many receive visitor questions?
What are 30-, 90-, and 180-day creator and paid-subscriber retention?
What percentage of free users convert to each paid tier?
How many conversations and bookings does an average active profile generate?
What is CAC by Product Hunt, organic sharing, paid acquisition, and Lucius cross-sell?
What are gross margins after model, storage, calendar, and support costs?
How are credits calculated, and what percentage of customers exhaust their allowance?
How often do AI answers require correction, and how is harmful misrepresentation handled?
Is Knockin a strategic standalone product, an acquisition channel, or a feature of Lucius?
Who works full-time on Knockin, and who owns its product and technical roadmap?
What are Lucius AI’s current valuation, cap table, burn, runway, and financing terms?