
BigML
RapidMiner
Scikit-learn
Qubole
Alteryx
Google Cloud Machine Learning
IBM SPSS Modeler
MATLAB
Markdrop
BugHerd
Pastel
Webvizio
BigML
MarkdropNo Markdrop videos yet. You could help us improve this page by suggesting one.
Markdrop's answer:
Markdrop combines powerful visual feedback, screen recording, and developer-ready bug reporting into a single, lightweight tool that feels invisible until you need it. Unlike bloated alternatives, Markdrop is fast, easy to integrate, and built for modern teams who care about speed and clarity with no Chrome extension or signup friction required.
Markdrop's answer:
Affordable, transparent pricing: Markdrop offers all the core features at a fraction of the cost of tools like Markup.io or Pastel.
Designed for devs and designers: Every comment can include logs, screen recordings, and environment data ready for developers to act on.
No friction for users: Share a link and anyone can leave feedback. No browser extensions, no accounts, no hassle.
Fast and privacy-respecting: Lightweight script, GDPR-compliant, and zero tracking bloat.
All-in-one: Combines comments, annotations, bug reporting, and async video so teams donโt need 3 different tools.
Markdrop's answer:
Markdrop is built for:
Founders and indie builders who want fast feedback without complex tools
Designers and PMs collecting client or stakeholder feedback
Developers who want bug reports with context, not vague screenshots
Agencies delivering websites and apps that need client review In short, itโs for lean product teams who value clarity and speed.
Markdrop's answer:
Markdrop was born out of frustration. As a solo founder building multiple products, I (Manuel) kept running into the same feedback pain, long email chains, vague bug reports, and overpriced tools that did too much or too little. So I built what I needed: a clean, no-fuss tool to drop comments directly on a site, see what users saw, and get back to shipping.
Markdrop's answer:
Which are the primary technologies used for building your product?
Frontend: Svelte 5 Backend: Cloudflare Workers, D1, and Durable Objects Database: Wrangler DB (D1) DevOps/Infra: Cloudflare Pages + R2 for static assets and file storage
Markdrop's answer:
Indie founders using Markdrop to launch and iterate faster
Agencies working with clients.
YC applicants using it to get fast design review
No-code builders collecting client feedback inside Webflow
Internal product teams replacing Slack screenshots with structured feedback
Based on our record, BigML seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Bigml.com โ Hosted machine learning algorithms. Unlimited free tasks for development, limit of 16 MB data/task. - Source: dev.to / about 5 years ago
They know the website is bigml.com it's possible they have many magnitudes better algorithms to predict this shit. And it's also possible they paid some quants to come up with price action that just completely fucks with BigML's algorithm entirely to make it look flat. Source: about 5 years ago
RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
BugHerd - BugHerd: The Website Feedback Tool for Agencies
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Pastel - Sticky note-based feedback collection tool for live websites
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
Webvizio - This free website feedback tool & website review software allows managers and teams to collaborate on website revisions in real time. Join for free now!