Products
AI Benchmark
Desktop
Mobile
Monthly visits
None yet
No traffic data yet
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
$49/mo
Higher than 82% of peersNiche median $12/mo
Creators
kai leslie
@leslie_kais· 26 followers
Launched
2y ago
2024-06-20 · Est.

Traffic

Monthly visits

No traffic data yet.

Marketing moves

Launches, search & content, referrals, promotions
X accounts@leslie_kais

  • Launched on Product HuntLaunch

    SrefHunter convenient for AI creators

    Jun 20, 2024 · 2y agoLaunch page

Open Source & Self-Hosting

GitHub · MCP / Skill
ruanyf/weekly
Last commit 2026-11-07
GitHub Stars
★ 25.4K
Forks
642
License
See repository
Primary language
Go
Browse peer open-source projects →

Traffic sources

Traffic breakdown

No traffic channel or country breakdown data for this website yet.

View similar products ↓

Search

Domain authority —Domain registered 2024-06-11

No search keyword data for this website yet.

Traffic data: Vaneform

Pricing

Lifetime Access
$49/once
Access to 1386 premium Midjourney Sref codes and advanced features

Trial: None · 1 paid tier ($49) · Observed 2026-11-07 · Pricing page

Entry price $49/mo, Higher than 82% of peers; “Design Assets & Mockups” median is $12/mo.View pricing benchmark

Pages & changes

Tracked since 2024-06-20

Key pages

Weekly snapshots

Changes

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

Questions & evidence

How much does SrefHunter cost?
Lifetime Access: $49/once. Observed 2026-11-07. Check the source for current billing terms, usage limits and taxes.Source
What is SrefHunter and what platforms does it support?
SrefHunter is catalogued under Design Assets & Mockups: Midjourney --sref codes. Supported platforms: Web.
Is SrefHunter open source?
SrefHunter has a public repository (https://github.com/ruanyf/weekly) with its source repository published, recording 25.4K GitHub stars.Source

Related products in this category

Design / Design Assets & Mockups

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