Software Alternatives & Startups
Register | Login

DoneThat VS imagecli

Compare DoneThat VS imagecli and see what are their differences

DoneThat

DoneThat is the fully automated AI time tracker and coach that helps you get more productive without manual logging.

Rating
0 reviews
Pricing
Open source Paid Free trial $4 / Monthly
Alternatives Is it good?
imagecli

Uploading local or remote images from CLI to store in Cloud. - egoist/image-cli

Rating
0 reviews
Alternatives Is it good?
HIVLY.APP
Give Hivly an idea. Get a finished social post. Add a photo and one sentence. Hivly writes the caption, designs the post, and schedules it for Facebook, Instagram, and LinkedIn. sponsored

Which is more popular?

Based on our record, DoneThat seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
2 vs 0
AI popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

DoneThat
imagecli
Website donethat.ai github.com
Pricing
Open source Paid Free trial $4 / Monthly Official pricing
—
Platforms
Windows MacOS Linux Chrome OS Google Chrome Web +3
—
Company Startup from the Netherlands · 1 - 9 employees · 2025 —
Listed in
Time Tracking Time Management Task Management AI Productivity +2
Project Management Task Management Work Management Productivity +1

About DoneThat and imagecli

In their own words, as submitted to SaaSHub.

DoneThat
imagecli

DoneThat automatically tracks all work and uses this context to boost your productivity: Automated timesheets, long-term memory for AIs, proactive coaching, and social sharing for accountability and remote trust. DoneThat is built privacy-first, cross-platform, and takes five minutes to set up.

Read more about DoneThat

No description of imagecli yet.

Features and specs

What each product offers, as listed by its team.

DoneThat 3 features
imagecli 5 features
  • Privacy-First Design
    Based in Europe, learn more at https://donethat.ai/data
  • Automatic Time Tracking
    AI automatically detects what you're working on
  • Proactive Chat
    Don, DoneThat's agent, proactively reaches out
  • Simple CLI interface
    image-cli offers a straightforward command-line interface that lets users perform common image operations like resizing, converting formats, and compressing without writing code, making it accessible for quick tasks and scripting.
  • Built on Sharp
    Under the hood it leverages the Sharp library, which is known for high performance and low memory usage when processing images, so users benefit from fast conversions and resizing even for large batches.
  • Multiple format support
    The tool supports converting between popular image formats such as JPEG, PNG, WebP, and AVIF, giving developers flexibility to optimize images for web or other platforms without needing separate tools.
  • Batch processing
    image-cli can process multiple files or entire directories in one command, which is useful for automating image optimization pipelines in build scripts or CI/CD workflows.
  • Lightweight and easy to install
    As an npm package, it can be installed quickly via npm or yarn and used directly with npx, requiring minimal setup compared to more complex image processing suites.

Possible disadvantages

  • Limited advanced features
    Compared to full-featured image editing suites, image-cli offers a relatively narrow set of operations (resize, convert, compress) and lacks more advanced manipulations like layers, filters, or complex transformations.
  • Dependency on Node.js ecosystem
    Since it's an npm-based CLI, users need Node.js and npm installed, which adds an extra dependency for those who just want a standalone binary without a JavaScript runtime.
  • Documentation gaps
    Being a smaller, less mainstream project, the documentation may be sparse or lack detailed examples for edge cases, making it harder for new users to discover all available options or troubleshoot issues.
  • Maintenance and community support
    As a side project by an individual maintainer (egoist), the tool may receive infrequent updates or slower bug fixes compared to more actively maintained, enterprise-backed image processing tools.
  • Limited error handling and feedback
    Some users report that error messages when processing fails (e.g., unsupported formats or corrupted files) can be unclear, making debugging batch operations more time-consuming.

Analysis

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

DoneThat
imagecli

Overall verdict

  • DoneThat.ai appears to be a productivity/work-tracking tool designed to automatically log and summarize daily work activities, but I don't have verified, up-to-date information confirming its current features, pricing, or user reviews, so I can't give a definitive quality assessment.

Why this product is good

  • Automates the tedious task of tracking daily accomplishments, which can save time for professionals and teams
  • Potentially useful for generating standup updates, performance reviews, or work logs without manual effort
  • If it integrates with common tools (Slack, GitHub, calendars, etc.), it could reduce context-switching
  • Early-stage AI productivity tools often iterate quickly based on user feedback, which may mean rapid improvements

Recommended for

  • Remote or hybrid teams needing automated work-tracking for standups or reports
  • Freelancers or consultants who need to document billable hours or deliverables
  • Managers looking for lightweight visibility into team activity without micromanaging
  • Individuals who want to reduce time spent on self-reporting and status updates
  • Users should verify current reviews, security practices, and pricing directly on the site before committing, as I cannot confirm live details

Overall verdict

  • imagecli appears to be a niche, lightweight command-line tool for image processing tasks, useful for developers and automation workflows but lacking widespread adoption or extensive documentation compared to established tools like ImageMagick.

Why this product is good

  • Provides a simple CLI interface for common image manipulation tasks, which can be convenient for scripting and automation.
  • Being open-source on GitHub, it allows for community contributions and transparency in its codebase.
  • Likely lightweight and fast for basic operations, avoiding the overhead of larger image processing suites.
  • Good for developers who prefer minimal dependencies over full-featured libraries.

Recommended for

  • Developers needing a quick, scriptable tool for basic image conversions or edits.
  • Users building automated pipelines or CI/CD workflows requiring simple image processing steps.
  • Those who prefer command-line tools over GUI-based image editors.
  • Projects where minimal dependencies and lightweight tooling are prioritized over extensive feature sets.

Videos

Walkthroughs and reviews on video.

DoneThat 1 video + Add
imagecli 0 videos + Add

DoneThat Walkthrough

No imagecli videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
DoneThat
imagecli
100% 100%
AI
0% 0%
50% 50%
Task Management
50% 50%
62% 62%
Productivity
38% 38%
0% 0%
Work Management
100% 100%

User comments

Share your experience with using DoneThat and imagecli. For example, how are they different and which one is better?

Log in or Post with

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

DoneThat 2 mentions
imagecli 0 mentions

Tracking imagecli since Mar 2021.

Alternatives to DoneThat and imagecli

When comparing DoneThat and imagecli, you can also consider the following products.

Loading...