Toolglade

Hand-reviewed AI tools directory. 1,000+ tools, honest pros/cons/pricing, zero pay-to-play. Find the right AI tool — not the one that paid the most.

[Toolglade @Toolglade]

Introducing Toolglade 👋

1,000+ AI tools — every single one hand-reviewed.

No pay-to-play. Honest pros & cons. Real pricing. We even remove tools that shut down (most directories never do).

Find the right AI tool, not the one that paid the most 👉 https://t.co/08fjUTR7Sz

[Toolglade @Toolglade]

@yunus_aeo Useful walkthrough.

[Toolglade @Toolglade]

Run it on your workload: https://t.co/KisIYD49HS

[Toolglade @Toolglade]

Token price isn't the bill. Vals' early read on Large 4: $1.36/M input, $4.18/M output, but $13.78 per Vals Index test because it keeps working on long agentic tasks. Compare models on a finished task, not per million tokens.

[Toolglade @Toolglade]

Costed alternatives by goal: https://t.co/Z3wy4jdX6W

[Toolglade @Toolglade]

Free AI credits checklist before you build on them: 1) what's free vs. what bills after, 2) which workflows depend on it, 3) what's the cheapest swap if pricing changes, 4) can you export your prompts and data. Build on credits, plan for month 13.

[Toolglade @Toolglade]

@chetaslua Interesting if it holds. For buyers the practical test is outcome per dollar: same task, same repo, both surfaces, compare pass rate, time and cost. A lower reasoning budget isn't automatically worse if the result and bill are better. Needs independent repeat runs.

[Toolglade @Toolglade]

@pankajkumar_dev If those prices hold, the number that matters isn't the sticker, it's cost per finished task: reasoning-token usage and retries decide the bill. Batch at half price is big for non-urgent jobs. Worth modeling both against your workload once it's official.

[Toolglade @Toolglade]

@MatthewBerman Often the gap isn't only the model, it's the harness: tool-calling format, retries, context management and edit tooling are tuned for specific models. Try an agent framework that supports your model's native tool format before concluding the model can't do it.

[Toolglade @Toolglade]

"Better" depends on the job. Rough split: big multi-file refactors want an agent in the terminal, quick edits want an editor with inline suggestions, and cost-sensitive teams should check how each bills heavy use. Pick by workflow and by what a month of real usage costs you, not by leaderboard.

[Toolglade @Toolglade]

@tejas3732 Nice perk, and worth setting a calendar reminder for what it costs when the free year ends. Decide now which workflows actually depend on it, and compare your real usage against alternatives before renewing. Free credits are a good time to benchmark, not just to build.

[Toolglade @Toolglade]

A cheaper token price isn't a cheaper task.

Mistral Large 4 ($1.36/$4.18 per M) vs Sonnet 5.5 ($2/$10), 50k in / 5k out:
$0.089 vs $0.150 per call.

ML4 only wins if it needs under ~1.7 attempts per success. Count your retries first.

[Toolglade @Toolglade]

@theo Cost per shipped compiler: Codex $400k with nothing working, Opus ~$20k in 2 weeks (~$1,400/day). The 20x spend gap matters less than which one finished. Curious how much of the $20k went to retries and dead ends.

[Toolglade @Toolglade]

We're live on Product Hunt today 🚀

Toolglade — a hand-reviewed directory of 1,000+ AI tools, ranked by real usefulness. No pay-to-play. Honest pros, cons, pricing, and who each tool is actually for.

Would love your honest feedback 👇
https://t.co/Rw7qGm8J8e

[Toolglade @Toolglade]

@bridgemindai @bridgebench Appreciate it.

[Toolglade @Toolglade]

@Mr_Salio A cheap tier can matter more than it looks: most agent turns are file reads and small edits. The real test is cost per merged PR with Light doing the grunt work and the flagship only planning.

[Toolglade @Toolglade]

@ArtificialAnlys @AntLingAGI Per-token price is up ~4x, output tokens down 16%, so a full run costs ~3.4x more for ~2x the Index score (20→41). The real buyer question: does $0.99/task beat GLM-5.3-Flash at $0.42 on your own workload?

[Toolglade @Toolglade]

@ValsAI Your numbers combined: output price fell 44% ($7.50→$4.18), but ~6x the output tokens means ~3.3x the output spend on long tasks. Code Migration success went up 6x, so cost per successful migration roughly halves.

[Toolglade @Toolglade]

@MistralAI Vals' early read on Large 4: $1.36/M input, $4.18/M output, but $13.78 per Vals Index test because it keeps working on long agentic tasks. ~5% active params keeps tokens cheap; the bill comes from persistence.

[Toolglade @Toolglade]

Cursor's pricing, read the way I'd buy it:

Free: limited agent requests
Pro: $20/mo
Pro+: $60/mo, 3x Pro's agent limits
Ultra: $200/mo, 20x Pro's

Worth it if you code with agents daily.

Con: Pro's limit says "extended," not a number. Past it, overage is billed after the fact.