Jango
Jango is a macOS desktop app for testing the parts of web applications that require more than one person. It gives developers AI participants with separate browsers, accounts, goals and memory so they can exercise multi-user workflows and inspect the resulting activity.
At a Glance
- Solo developers
- Software development teams
- Developers building social, chat, collaboration, marketplace and trading-interface applications
- Testing and QA / developer-tools users
AI Tools by Jango
(1)
Jango
AI Multi-User Testing for macOS
Discussions
No discussions yet
Be the first to start a discussion about Jango
Latest News
Jango launched on Product Hunt as a multi-user app testing product with AI agents, separate browsers and accounts.
Jango 1.1.1 released with improved sign-out controls; the release also includes the 1.1.0 plans, managed AI and account-management updates.
Jango 1.1.0 introduced Free and Pro plans, prepaid managed AI credits, account deletion and usage analytics.
Jango 1.0.0 released for macOS with isolated participant browsers, personas and situations, manual takeover, setup checkpoints, session evidence and BYOK AI connections.
Products & Services
Desktop workspace for running AI participants through a developer's web app using isolated browser sessions, separate test accounts, personas, goals, saved casts and memory, live views, manual control and session evidence. Available for Apple silicon and Intel Macs; macOS 14 Sonoma or later is required.
Public GitHub repository containing Jango desktop preview installers and release notes; the application development repository is private.
Market Position
Jango focuses on development-time, multi-user interaction testing rather than single-user browser automation: each AI participant gets its own browser, account, goal and memory, and the developer can join or take over the session. Product Hunt identifies Browser Use, Browserbase, TestMu AI and Skyvern as alternatives; Jango differentiates around coordinated multi-account scenarios in a local Mac app.
Leadership
Founders
Emmanuel Adesola
Product Hunt identifies Emmanuel Adesola as Jango's maker and a solo founder; his public Product Hunt profile describes him as a Tech Enthusiast and lists Weave as another product he made.
Executive Team
Emmanuel Adesola
Founder and maker
Product Hunt lists Adesola as Jango's maker, describes him as a Tech Enthusiast and identifies him as a solo founder; he also made Weave.
Founding Story
Emmanuel Adesola says he built Jango because testing multi-user features alone was painful: developers otherwise juggle multiple browser windows and fake accounts. The initial vision was to provide a group of AI users, each with its own login and memory, so a developer can observe how an app behaves when several people use it at once.
Business Model
Revenue Model
Freemium desktop software subscription. The Free and Pro plans run on the user's own AI key at no extra cost; Jango also sells prepaid managed AI credits and offers an Enterprise plan with invoicing, custom limits and support terms.
Pricing Tiers
3 participants per session, 1 project, own AI key; managed AI credits available at cost plus 20%.
12 participants per session, unlimited projects, multi-user checks and saved checkpoints; founding price remains the same while subscribed. Managed AI credits are available at cost plus 10%.
Larger casts, custom participant limits, invoiced billing, negotiated managed-AI rates and direct support.
Target Markets
- Solo developers
- Software development teams
- Developers building social, chat, collaboration, marketplace and trading-interface applications
- Testing and QA / developer-tools users
- Social app testing: invitations, conversations, community roles and shared activity
- Chat and group messaging testing across sender, recipient and late-joining accounts
- Collaboration testing for team invitations, shared tasks, handoffs and role-based workflows
- Sandbox order-book and marketplace testing with buyers, sellers and separate accounts
- Development-time exploration of multi-user flows by solo developers and teams