Stop losing money on forgotten SaaS subscriptions and "ghost" licenses. Toolspend is the ultimate command center for your stack, designed to give you 100% spend visibility without the manual upkeep. While other tools just list your apps, Toolspend deep-dives into your actual usage and spend patterns. We identify underutilized seats, detect duplicate tools across teams, and alert you before every renewal. Toolspend helps you automate the toil of procurement so you can focus on building!
What isn’t exploding? Visibility into what they actually cost.
Teams are subscribing to ChatGPT, Claude, Midjourney, Cursor, Perplexity, ElevenLabs… and finance only finds out when the bill hits.
The real problem? AI usage (tokens) and actual spend are completely disconnected.
That’s why we built ToolSpend.
It connects your AI services + banking data and shows: • What you're really spending • Which teams are driving usage • Where you’re overpaying • Smarter model alternatives
AI shouldn’t be the next AWS surprise bill.
Excited to hear your feedback — especially from founders & dev teams already scaling with AI
Congrats on the launch! We’ve definitely run into this with our startup team... once you’re using multiple AI models and tools, it gets challenging to understand what you’re actually spending vs. what you’re getting. Being able to chat with AI to see total spend, usage analytics, and optimization suggestions would be really valuable.
This hits home. 💸 The 'ghost licenses' problem is real and honestly, it's the same mindset I bring to building tools.
You know what else suffers from the same 'set it and forget it' drain? Risk engines. Companies pay thousands monthly for enterprise risk tools, using maybe 20% of the features, while the other 80% is just bloat they never touch.
Quick question: When you look at your stack, what's the most painful 'ghost spend' you've discovered? And if you could wave a wand what would the ideal tool look like that actually respects your budget and gives you exactly what you need, nothing more?
The number of tools I bought to test and forgot to cancel will have me bankrupt, especially browsing here everyday. this is such a smart idea!
Very Nice and useful idea, will you consider offering a white label solution as well?
Congrats on the launch! The gap between token usage and actual financial impact is very real, especially as teams experiment across multiple AI tools. How does ToolSpend attribute usage and cost to specific teams or projects when accounts and API keys are often shared across departments?
Makes sense companies suddenly have 10+ AI tools per team and nobody knows who’s using what 😅 If it actually tracks real usage + catches ghost seats before renewal, that’s legit ROI. AI spend visibility is quickly becoming finance infra, not just ops tooling.
Cool initiative, do you also keep track of those free memberships and provide updates when the trial period is almost over?
This is super timely with everyone subscribing to 5 different AI tools. :D Does the tool separate variable costs from fixed seat-based subscriptions?
Yep, rogue AI seats are killing us. Surprise Midjourney/Cursor/Claude charges and then finance pings me. If this actually maps tokens to teams + nudges before renewals, that’d help. Does it catch stuff paid on personal cards that get expensed later?
I think it is kinda useful for people who have like million subscription plans. :)
Excited to hunt ToolSpend today 😎
Teams are rapidly adopting tools like ChatGPT, Claude, Midjourney, Cursor, and more but visibility into actual AI spend is lagging behind.
AI usage (tokens) and real cash out the door rarely live in the same place. That’s the gap ToolSpend is solving by connecting AI services with financial data to show what you’re truly spending and where you can optimize.
If you're scaling with AI, this is a problem worth paying attention to.
Congrats to the team on the launch 👏
@visagar This is such a smart niche to go after! 👏 I (well, the whole team) use a lot of AI tools daily, and tracking what we’re actually spending manually… it gets messy fast. Love the idea!
I’m curious – how granular can the team-level visibility get? Can you attribute usage down to specific projects or cost centers, or is it mainly per tool / per team right now?
Who you gonna call? Ghost-license busters!:D 2026 is officially the year of too many AI subscriptions. Love the model alternative feature. Any plans for a one-click cancel button inside the dashboard?
Hey Product Hunt 👋
We’re the makers of ToolSpend - and we built this because we ran into the same problem ourselves.
Inside our own team, we were using ChatGPT, Claude, Midjourney, Cursor, Perplexity AI, and ElevenLabs across different projects.
Everyone was moving fast.
No one knew what we were actually spending.
Engineering saw token usage.
Finance saw card charges.
Those two worlds never met.
We realized AI spend is fundamentally different from traditional SaaS:
Usage (tokens) ≠ invoices
Teams experiment constantly
Model pricing changes fast
“Just $20/month” tools multiply quickly
So we built ToolSpend to connect AI services + banking data into one clear view:
Real AI spend across providers
Usage by team/project
Overlapping subscriptions
Smarter / cheaper model alternatives
Our goal: make AI spend observable before it becomes your next surprise bill.
We’re early and building this with founders & dev teams who are scaling fast with AI.
Hey Product Hunt
AI tools are exploding inside companies.
What isn’t exploding? Visibility into what they actually cost.
Teams are subscribing to ChatGPT, Claude, Midjourney, Cursor, Perplexity, ElevenLabs… and finance only finds out when the bill hits.
The real problem?
AI usage (tokens) and actual spend are completely disconnected.
That’s why we built ToolSpend.
It connects your AI services + banking data and shows:
• What you're really spending
• Which teams are driving usage
• Where you’re overpaying
• Smarter model alternatives
AI shouldn’t be the next AWS surprise bill.
Excited to hear your feedback — especially from founders & dev teams already scaling with AI