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!
Cool initiative, do you also keep track of those free memberships and provide updates when the trial period is almost over?
Toolspend
@viktorgems Honestly? We’re still winging parts of it — and heavily feeding off community feedback.
Right now, the focus is giving everyone visibility first. We want the core dashboard to be free so teams can actually see their AI usage and subscriptions without friction.
Long term, the plan is simple:
Access to your spend data → free
Optimization recommendations that reduce costs → paid (because they directly save money)
On the trial tracking question — yes, that’s definitely on our radar. Free memberships and expiring trials are part of the “silent creep” problem we want to surface better.
If that’s something you’d find valuable, would love to hear how you’re tracking trials today.
Toolspend
@jihad_mahmoud Thanks Jihad.
Yes — we focus heavily on usage, especially AI API usage (tokens, requests, model-level consumption), not just the dollar amount on the invoice.
And great question on alerts
Right now we support spend-based alerts, but usage-based alerts (e.g. token thresholds, model spikes, abnormal usage patterns) are very much on the roadmap. Honestly, that’s where things get powerful — catching the spike before it becomes a billing surprise.
If you were setting one today, would it be per model, per project, or per API key?
@visagar That's great, glad to hear you have eyes on the usage alerts in the foreseeable future.
Actually for me it is simple since I'm a solo indie maker, alerts make sense per API key. Nevertheless, teams and other people may have different needs hence doing a more detailed alerting system like the one for budgets would make more sense from my prospect so it serves more users. Thank you and I wish you the best of luck.
This is incredibly timely — AI tool costs can spiral out of control fast, especially when you're using multiple APIs for different tasks. Do you support tracking costs for image generation APIs like Replicate or fal.ai? That's where a lot of hidden spend lives.
Toolspend
@tugay_pala Yes — we support Replicate and several other providers, and we’re actively integrating RunwayML and ElevenLabs.
Beyond tracking spend, we analyze actual usage and surface alternative models inside the same ecosystem so teams can save without changing workflows.
Example (image generation):
A team might be using a high-end SDXL or Flux variant on Replicate for every image. ToolSpend can show that for previews, thumbnails, or internal drafts, a lighter SD 1.5–based model or a faster low-step variant produces near-identical results at a fraction of the cost — and flags when the premium model only makes sense for final exports.
Same API. Same output intent. Less burn.
That’s where most “hidden” AI spend lives.
Very Nice and useful idea, will you consider offering a white label solution as well?
Toolspend
@viva_jam Thanks Saga, really appreciate that.
White-label is definitely something we’re considering — especially for agencies and consultancies managing AI spend across multiple client accounts.
Curious — would you be thinking about using it internally, or offering it as part of a service to your own clients?
Nice angle focusing on actual usage instead of just listing tools. How are you pulling usage data — direct integrations or finance/accounting sources?
Toolspend
@shemith_mohanan Appreciate that
Right now we’re doing it two ways:
- Financial layer (via Plaid) – to see the real money leaving the account (subscriptions, renewals, rogue seats, personal cards getting expensed, etc.)
Direct integrations (where available) – to map actual usage (tokens, API calls, seats) so we can compare spend vs. consumption.
The interesting part is connecting those two — that’s where ghost licenses and token overages show up.
Out of curiosity, are you seeing more seat-based waste or token overages in your stack?
Lancepilot
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.
We’d love your honest feedback:
What’s hardest about managing AI spend today?
What metrics do you wish you had?
What would make this a no-brainer to adopt?
Thanks for checking us out 🙌
Meet-Ting
@priyankamandal The chokehold I'm in with all our tools is bananas.
Toolspend
@priyankamandal @dbul 😂 I feel this.
That “we’ll just try one more AI tool” phase turns into 15 subscriptions real fast.
That’s exactly the chokehold we’re trying to fix with ToolSpend — visibility before the month-end surprise hits.
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.
Toolspend
@palirenjen Appreciate that
That’s exactly the pain we kept hearing — once you’re using multiple models + tools, spend becomes this blurry mix of seats, tokens, trials, and renewals.
You think you know what you’re spending… until the invoice hits.
The “chat with your spend” idea is spot on too.
Instead of digging through dashboards, just ask:
That’s very much the direction we’re heading — clarity first, optimization next.
Thanks for the thoughtful feedback 🙏