Products

Lect Ai

AI-native

The AI research app that shows its work.

lectai.io AI Models & Agents / AI Search & Answer Engines

AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Sep 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
$5.99/mo
Lower than 81% of peersNiche median $12.4/mo
Creators
Jake laul
No social account linked
Launched
14mo ago
2025-10-03 · Est.

Traffic

Monthly visitsData through Sep 2026

Marketing moves

Launches, search & content, referrals, promotions
  • Launched on Product HuntLaunch

    Turn prompts into slides instantly

    Oct 3, 2025 · 14mo agoLaunch page

Traffic sources

Sep 2026

Traffic breakdown

Channels

  • Direct36%
  • Organic Search30%
  • Referrals13%
  • Social7%
  • Other13%

Countries

  • United Kingdom100%

Search

Domain authority —Domain registered 2025-02-17

KeywordMonthly volume
lec ai90

Traffic data: Vaneform

Pricing

Free
₹0/ month
1 million tokens / month · Up to 20 web searches
Basic
₹499/ month
5 million tokens / month · 20+ web searches
Max
₹1,999/ month
20 million tokens / month · Up to 40 web searches
Team
₹7,999/ month
Max plan benefits for 5 people · Invite up to 5 members by email

Trial: None · Observed 2026-11-04 · Pricing page

Entry price $5.99/mo, Lower than 81% of peers; “AI Search & Answer Engines” median is $12.4/mo.View pricing benchmark

Pages & changes

Tracked since 2025-10-03

Key pages

Weekly snapshots

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much does Lect Ai cost?
Free: ₹0/ month; Basic: ₹499/ month; Max: ₹1,999/ month; Team: ₹7,999/ month. Observed 2026-11-04. Check the source for current billing terms, usage limits and taxes.Source
How much website traffic does Lect Ai get?
Vaneform estimates <5K website visits in 2026-09. Visits can include repeat visits; this estimate does not measure paying customers or revenue.Source

Related products in this category

AI Models & Agents / AI Search & Answer Engines

These products share a catalog category. Compare customer tasks, features and deployment requirements before treating them as alternatives.