Products
AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Oct 2026
MRR
$73.91
30d received $02026-07-30
Entry price
$59/mo
Higher than 64% of peersNiche median $46/mo
Creators
Joy Anand
@thejoyanand· 2,368 followers
Launched
6mo ago
2026-05-28 · Est.

Traffic & revenue

Last 12 months
Monthly visitsData through Oct 2026
Verified monthly revenueRevenue data stopped at 2026-10-01
  • May 2026$293.25
Events3 marketing moves

Marketing moves

Launches, search & content, referrals, promotions
  • Launched on Show HN (2 pts · 1 comments)Launch

    I built an AI Agent that sell itself — Quick bit of context: SendRoq is a LinkedIn automation tool. Before the AI era (pre-2021), I ran a marketing agency. Back then, client acq…

    Sep 10 · 2mo agoLaunch page

    At the time: <5K visits/moVisits: prior 2 mo -80%, next 2 mo -100%
  • Launched on Product HuntLaunch

    LinkedIn outreach that starts with intent, not hope

    May 28 · 6mo agoLaunch page

  • Launched on TrustMRRLaunch

    SendRoq is a LinkedIn outreach automation tool built for warm outbound. It detects buying signals in real time, scores leads against your ICP, and sends personalized connection requests, DMs and follow-ups automatically. Stop messaging everyone. Start reaching people who are actually ready to buy. Used by SDRs, founde…

    May 28 · 6mo agoLaunch page

Third-party reviews & case dossiers

Acquisition breakdowns, engineer reviews & open-source metrics
Show HN
2026-09-10Source
Post excerpt:
Quick bit of context: SendRoq is a LinkedIn automation tool. Before the AI era (pre-2021), I ran a marketing agency. Back then, client acquisition on LinkedIn was all manual. Once AI agents started becoming a thing, I built one for my agency's internal use, never intended to sell it. It worked really well for us. A few colleagues and partners kept pushing me

MCP Server & Agent Ecosystem

GitHub · MCP / Skill

Traffic sources

Oct 2026

Traffic breakdown

Channels

No data yet

Countries

No data yet

Search

Domain authority 1.6Domain registered 2025-10-11

KeywordMonthly volume
sendroq300

Traffic data: Vaneform

Pricing

Public pricing: Starter: $59/mo, Growth: $119/mo, Enterprise: $249/moRaw source text; structured plans are extracted after website capture.

Pages & changes

Tracked since 2026-07-30

Key pages

Weekly snapshots
Home
www.sendroq.com/ Snapshot 2026-11-04

Changes

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

Design

First-screen visual analysis & :root CSS

Gradient Glow (Dark canvas, balanced density) featuring split copy & visual layout and product ui screenshot / component visuals.

First-screen preview · click to zoom

First-screen pitch & conversion flow

“AI agents that find your buyers on LinkedIn”

Split Copy & Visual hero structure paired with start free / sign up CTA and no explicit trust bar.

Conversion path: Split Copy & Visual + Product UI Screenshot / Component → Start Free / Sign Up

Palette · click to copy

5-D design score7.9 / 10
Typography
8.0
Color & Contrast
8.0
Layout & Spacing
8.0
Craft & Polish
8.0
Distinctiveness
7.0

Structure

Fonts
Instrument Serif / Inter
Primary visual
Product UI Screenshot / Component
Conversion CTA
Start Free / Sign Up
Social proof
No Explicit Trust Bar
Navigation
Full-Width Top Bar
Theme & density
Dark · Balanced
Corners & depth
Medium Radius · Hairline borders
Preview full AI design brief (includes :root CSS variables & layout rules)Style tokens only; never copy brand names, logos, copy, or images
# Design Brief: Gradient Glow (with Editorial)

Luminous radial glows and translucent glass panels, widely used across modern AI products.

## Design Tokens

```css
:root {
  --background: #0b1020;
  --surface: #f7f8fb;
  --foreground: #f4f6fa;
  --muted-foreground: #a8b0c2;
  --accent: #4c6bff;
  --radius: 8px;
  --font-heading: "Instrument Serif", serif;
  --font-body: "Inter", ui-sans-serif, system-ui, sans-serif;
}
```

Color area ratio: Background #0B1020 (~52%) · Surface #F7F8FB (~22%) · Text #F4F6FA (~12%) · Muted Text #A8B0C2 (~8%) · Accent #4C6BFF (~6%). Background and surface dominate the canvas; reserve the accent color for primary buttons and active states.

## Layout & Conversion Structure

- Hero layout: Split Copy & Visual
- Navigation: Full-Width Top Bar
- Theme & density: Dark · Balanced
- Border radius & elevation: Medium Radius; no drop shadows—separate layers with hairline borders and whitespace
- Primary visual medium: Product UI Screenshot / Component
- Conversion CTA: Start Free / Sign Up
- Headline hook: Category Positioning Anchor
- Hero components: Large Hero Product Shot
- Spatial layout notes: Split Copy & Visual hero structure paired with start free / sign up CTA and no explicit trust bar.
- Visual summary: Gradient Glow (Dark canvas, balanced density) featuring split copy & visual layout and product ui screenshot / component visuals.

## Avoid

- Muddy low-contrast text over gradients
- Overuse of full-screen rainbow backgrounds
- Cluttered dense tables in the hero

Implement the UI following the design tokens and layout specifications above: use only these color variables, and reserve the accent color strictly for primary actions and active states. Adopt only this visual style—never copy any reference product’s brand name, logo, copy, or imagery.

Questions & evidence

How much does SendRoq cost?
The catalog records a monthly entry price of $59. Plan details and current billing terms are not yet available.
How much website traffic does SendRoq get?
Vaneform estimates <5K website visits in 2026-10. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is SendRoq and what platforms does it support?
SendRoq is catalogued under LinkedIn Outreach & Social Selling: AI agents that find your buyers on LinkedIn. Supported platforms: Web.
What is SendRoq's publicly disclosed revenue?
TrustMRR records verified MRR of $73.91 observed on 2026-07-30.Source

Related products in this category

Sales / LinkedIn Outreach & Social Selling

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