
Squoosh
TinyPNG
iLoveIMG
ImageOptim
Compressor.io
XnConvert
Batch Image Resizer
Compress your pictures up to 90% without visible quality loss.

Substack
Formo.so
Advanced analytics for Substack writers. Runs 100% locally, no cloud, no subscription. Discover your superfans, churn risk, and cohort retention.
Which is more popular?
Based on our record, Caesium Image Compressor should be more popular than StackStats.app. It has been mentioned 10 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | saerasoft.com | stackstats.app |
| Pricing | ||
| Company | — | Startup from the United Arab Emirates · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Caesium Image Compressor yet.
StackStats is a local desktop app for serious Substack writers. Import your CSV exports and get analytics Substack doesn't show you: bot-filtered open rates, cohort retention, dead subscriber detection, superfan ID, content-to-growth correlation, and an optional AI layer (supports Ollama,...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Caesium Image Compressor and StackStats.app.
StackStats.app's answer:
I built StackStats because Substack's native analytics weren't cutting it. I wanted cohort data, real open rates (not bot-inflated), and a way to identify which posts were actually driving subscriber growth — but every tool I found was either cloud-based or required migrating off Substack entirely. So I built a local app that works with Substack's own CSV exports. No migration, no cloud, no subscription.
StackStats.app's answer:
StackStats runs 100% locally on your machine — your subscriber data never touches a server. It also goes far beyond what Substack shows natively: bot-filtered open rates, cohort retention, superfan identification, dead subscriber detection, and content-to-growth correlation. No subscription, no account, no cloud. Pay once, own it forever.
StackStats.app's answer:
Most newsletter analytics tools are cloud-based SaaS with monthly subscriptions. StackStats is a one-time purchase that runs entirely on your device. For Substack writers who care about privacy — especially those with paid subscribers — that's a meaningful difference. You also get analytics features that don't exist anywhere else, like bot-filtered open rates and cohort retention, without having to migrate away from Substack.
StackStats.app's answer:
Serious Substack writers who are frustrated by Substack's shallow native analytics and want real data to drive growth — without moving their subscriber data to the cloud.
StackStats.app's answer:
Electron (macOS + Windows), HTML/CSS/JavaScript, Chart.js, PapaParse. Optional AI layer supports Ollama, Claude, GPT-4, Gemini, Groq, and OpenRouter. Licensing via Cloudflare Workers + D1. Payments via Gumroad.
Share your experience with using Caesium Image Compressor and StackStats.app. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


I also use Caesium Image Compressor on my ROMs and Themes folder to reduce their size and improve the RG35XX's responsiveness. Source: over 3 years ago
If you want further compression you could check out Caesium Image Compressor which is free (and I'm not affiliated with it incidentally, I just like it). Source: over 3 years ago
Try an image compression tool, this one is free and open source: https://saerasoft.com/caesium/. Source: over 3 years ago
I'm working on 3 products now: 1. FormBeep(https://formbeep.com) at $38 MRR now - A form to Whatsapp tool. Stack is mainly CF workers with Clerk Auth. 2. SlashLink(https://slashlink.app) $0 - A simple pay as you go amazon link localizer.... - Source: Hacker News / 3 days ago
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