Search usernames across 2000+ social media platforms, dating sites, forums, and more. Find social media profiles, verify online dating profiles, conduct background checks, and manage your online presence with our comprehensive reverse username search engine.Hey Product Hunters! 👋

I'm thrilled to introduce you to User Searcher - a free username search engine that can search usernames across 2000+ social media platforms.

Search usernames across 2000+ social media platforms, dating sites, forums, and more. Find social media profiles, verify online dating profiles, conduct background checks, and manage your online presence with our comprehensive reverse username search engine.

Conduct reverse username searches and lookups on thousands of websites

Find social media accounts, dating profiles, and online communities

Gather publicly available profile information like bios, pictures, and links

Get organized results categorized by platform type

Export search data to Excel/JSON for further analysis

No signups, no limits - just enter a username and let User-Searcher do the rest!@mathew_l Hi! What aspects of it separates it from the rest? How does it perform better than a sherlock.py wrapper?Wow, I am quite surprised that it found me on so many websites (even tho it was abstracted only from the limited amount: of 200). My digital footprint is everywhere. :D Cool. Wish you GL! :)Congratulations on the launch!
It does what it promises: Searches all the sites for the given username.
However, when I searched with my username, pretty much everything I got was profiles of other people who happen to have the same username as me. It can be a good start if you wish to search someone online, but certainly not a guarantee that all profiles will belong to the same user.

Also, hoping that it doesn't propagate online stalking further. 👀 
You can consider adding a feature called "Don't show me", where people who don't wish to be shown can submit their usernames.

Wishing the best for you! 🚀All the best for the launch!
I’m curious—how does the tool manage to stay updated with the availability status on so many different sites?@kavyaaatripathi and moreover how many sites are listed on the tool?

User Searcher

Incerto Observability is a fully on-premise monitoring tool offering complete control and fixed costs. Avoid SaaS drawbacks like escalating expenses and gaps. Get RUM, NPM, APM, and more in a single, customizable package.Hey Product Hunt community! 🎉

We’re excited to introduce Incerto Observability, an on-premise observability solution for fintech and brokerage firms that demand full control over their tech infrastructure. 

With the motto of #OwnYourObservability, Incerto stemmed from the need to address the dire gaps that SaaS observability solutions possessed. 

Here’s what makes Incerto stand out:

Customizable and Controlled
100% On-Premise: Complete ownership of your observability data and operations.
Tailor to Your Needs: Customize with RUM, NPM, APM, Audit Compliance and business analytics all in one platform.

Powered by Flexibility
Scalable Performance: Efficiently handle large-scale data with fixed costs and no surprises.
Enhanced Control: Integrates seamlessly with your existing infrastructure while offering robust security and compliance features.

85+% cost-cut, guaranteed
Some of the biggest players in fintech & brokerage (FYERS, Dhan, Alice Blue) have leveraged Incerto to breakaway from vendor lock-ins with SaaS and achieved more than 85% cost-cut (with a break-even in months!)
 
We’ve closed 8 logos this year, with the goal to double that number before the year ends. We’d love your feedback! 

Explore the playground and share your thoughts or questions below—we’re here to listen! 💬
Link: https://play.incerto.in/d/c2b6ab...@shiva_pundir this is exactly what the industry needs! On-premise observability with full control is a game changer for fintech. Kudos to you and your team for creating something so impactful!@markmartinez Thanks a ton for the support! We are trying to solve this problem to the best of our abilities and beyond.Looks like an awesome solution for fintech! Haven't dug in too deep yet, but on-premise control and cost savings make it sound very promising. Congrats on the launch!@kevinmartinezt  Thanks for support! You can always DM us to know more.Incerto sounds like a powerhouse for fintech firms! Love the idea of having full control and cutting costs while still scaling up. The on-premise approach is a big win for security and compliance too. Congrats on the launch, can’t wait to see how it resphapes observability for the big players.@marygarcia Thank you very much!

Incerto Observability

💡 Learn what users need from calls, reviews, other feedback
💬 Collect new feedback with AI interviews & surveys
👩🏻‍💻 Plan your product with AI sorted projects
📄 Strategize with AI written PRDs based on user feedbackHey Product Hunters! 👋

Excited to launch Kraftful 3.0 — the new way to build products, fully leveraging AI. 
18 months ago, we launched our scrappy MVP here on PH and were met with so much love from the community.
Since then, our tiny team has shipped 207 features to turn our MVP into an enterprise-ready and SOC2-compliant AI solution. 

Almost 50,000 teams from companies like Google, Microsoft, Meta, Stack Overflow, have made Kraftful their go-to for user feedback analysis, and we’re now seeing 45% MRR growth 📈

Our rapid growth got us named 2024 Most Innovative Company by Fast Company, winning multiple product awards, been featured on Masters of Scale and in countless product newsletters and podcasts. All in just 18 months! 🤯

Today, we’re back on PH to show you everything you can do with Kraftful now that it’s a complete solution:

💡 Learn what users need from AI analysis

💬 Collect new feedback with AI-powered interviews and surveys

👩🏻‍💻 Plan your product with AI-organized projects

📄 Strategize with AI-written PRDs based on user feedback

✅ Assign work using AI-written user stories

🎓 Don’t forget to see how much time you saved with Kraftful on your report card!

Try out Kraftful 3.0, and let me know what you think. 

P.S. Have fun spotting where we assigned some work to @rrhoover in our launch visuals 🙃@rrhoover @hamza_afzal_butt Thanks Hamza! AI-powered interviews are completely personalized because the follow up question is based on previous answers. It ends up being like a conversation. 

Interestingly, it uncovers new insights because users are more honest with the interview. When you do a call with a user, they will often say nice things to avoid hurting the interviewers feelings. They don't really feel that need with an AI-powered interview. You can try answering one here: https://klever.kraftful.com/surv...@rrhoover @yanaw 
Congratulations on the launch of Kraftful 3.0! You've done a great job, cool solution to collect new feedback through interviews and AI-based surveys 🦾Thanks so much for the support @antonikozelski!@rrhoover @antonikozelski Thanks Antoni! Here's a survey if you want to try out how AI does the interview in real-time: https://klever.kraftful.com/surv...@rrhoover @yanaw Congrats Yana! This will be very helpful for PMs, the back & forth human feel adds a different element to it than most.Oh no this is the end of Product Managers...doing boring and dirty work! Heck yeah! Honestly, I'm more excited taking what AI gave me and turn these ideas/insights into strategies, modify PRDs and tickets so I have something to go off of. That's cool. 

Love how AI can interview users and learn more about what's behind each of their feedback.

I'm curious what powers the product AI so it has no hallucinations? And how do teams fine tune and improve the quality of the generated content and analytics work? 

Congrats on the launch @yanaw and team!@tonyhanded Thanks Tony! 

Our analysis is built with a chain-of-thought process, with one crucial step being to revisit the body of feedback to ensure the output aligns with the original feedback. This helps us eliminate hallucinations in ways most other solutions can’t.

Users provide feedback to our system by editing the AI output, removing mentions, and more. We’re using this input to train the model to behave increasingly in line with each user’s preferences. It’s like a junior PM getting edits on her Google doc as she learns and improves :)Congratulations founders on this launch, would love to get a glimpse of the backstory behind Kraftful what has been the motivation behind this, what got you startedInterviewing users and ideating on their feedback is super tedious. 

A product that simplifies the process with an AI analysis of feedback will help startups cut to the chase quicker. 

Congrats on the improvements! 🎉@derkolstad Thanks so much for the support!

Kraftful 3.0

MinusX is a chrome extension that adds a sidechat to your analytics apps like Jupyter and Metabase. Given an instruction, our agent operates the tool - by clicking and typing - to analyze data and answer queries.Hey Product Hunt! 👋 

We're @nuwandavek , @ppsreejith and @arpit_tarang , and we're building MinusX, an AI Data Scientist for Jupyter and Metabase. MinusX is a Chrome extension (https://minusx.ai/chrome-extension) that adds an AI sidechat to your analytics apps. Given an instruction, our agent operates your app (by clicking and typing, just like you would) to analyze data and answer queries. Broadly, you can do 3 types of things: 
- 🔮 Ask for hypotheses and explore data
- 🛠️ Extend and modify existing notebooks/dashboards
- 🔍 Select a region and ask questions about it


🤕 Why are we building this?
Developers just want answers. Product managers just want answers. Analysts want 10 clones of themselves. This is a sentiment we hear over and over. So what’re the options do people have?
1. Continue business as usual with 1000s of back and forths - 🥲 painful
2. Move to a new fancy AI analytics tool (means convincing all colleagues to also move to the new tool, abandoning all existing workflows) - 🥲 extra painful
3. Go to chatGPT which has no real context of your data, your past, your workflow and admonish it till it gives something passable - 🥲 less painful, but sad

If this sounds like you, you’ll love MinusX! 🚀🚀🚀

An AI Data Scientist is a Scientist, not yet-another-new-fancy tool. [🧑‍🔬 >>> 🛠️]
MinusX just works, where you already are! It uses the full context of your data, current workflows, and is deeply integrated into both Jupyter and Metabase. It "retrofits" analytics software with intelligence, something LLMs have begun to unlock. We also get a kick out of the fact that we use the same APIs humans use (clicking and typing), so we don’t really need "permission" from any analytics app 👀


The product is currently free to use. We’re working on supporting local models and bring-your-own-keys soon! We'd be super stoked for you to try out MinusX! You can find the extension here: https://minusx.ai/chrome-extension. We've also created a playground with data, for both Jupyter and Metabase, so once the extension is installed you can take it for a spin: https://minusx.ai/playground

We'd love to hear what you think about the idea, and anything else you'd like to share! Suggestions on which tools to support next are most welcome 🙏

❤️Awesome platform! Apart from Metabase, will you be supporting more BI tools along the way? Can't help thinking of Tableau, Power BI, Google Data Studio (not too relevant)@charlestehio Yep! We're currently exploring the tools mentioned in our home page (Grafana, Colab, Google Sheets, etc) but do tell us which tool you'd like us to add next at https://minusx.ai/tool-requestThis is a game changer for anyone juggling Jupyter and Metabase! 💡 I love that MinusX operates like a data-savvy sidekick, turning the tedious into the seamless. No more endless back-and-forths or migrating to complicated tools—just good, old-fashioned smart analytics with a twist! Can’t wait to see what features you guys roll out next. @nuwandavek, are you planning to integrate with any specific data visualization tools?@nuwandavek @ema_elisi We're still exploring what tools to add support to (Currently looking at Grafana, Colab, Google Sheets etc). Please do let us know which tools you'd like us to add at https://minusx.ai/tool-request :)🚀 Congrats on the launch! You should be so proud. I'll use it and be cheering for your continued success! @nuwandavek@zulkarnaim Thanks, we really appreciate it!

MinusX (YC S24)

Forget fragile XPath or DOM selectors. AI-powered AgentQL finds elements reliably, even as websites change. Just specify what data you are scraping from the web with natural language-like queries, and AgentQL will handle the rest.Hey Product Hunters! 👋

I am Shuhao, cofounder of the AgentQL team. Allow me to introduce AgentQL, an AI-powered semantic framework designed to enable AI agents to seamlessly interact with the web, using natural language.

That's a lot of big words. Let's break down what AgentQL can do:

 🕹️ Give it the command to find "price", and it will retrieve all the price data on an e-commerce page you spend less time building rigid selectors

 🖥️ Take the same code to another site, and it can work just as well >> you spend less time maintaining fragile scripts

 📝. Need to interact with sites as part of your work flow? Simply use natural language, tell AgentQL to click, scroll_page or fill.

So why did we decide to build AgentQL?

Traditional web automation struggles with identifying elements consistently through UI changes. When LLMs and agents first emerged, we envisioned a web infrastructure tailored for agentic interaction, which excels in handling these small but breaking changes, so we decided to tackle this challenge head-on.

How did we go about this?

At the heart of our framework is the AgentQL Query, a language crafted to describe locate web elements within a structured schema. We’ve integrated robust DOM processing with advanced prompt engineering, creating a powerful combination that dynamically generates context-aware prompts. By doing so, we overcome the fragility of static XPath or attribute selector-based scripts, enabling a more resilient and flexible web interaction infrastructure.

Would you like to join our journey to an agentic future?

Our early users have reported real productivity boosts with AgentQL, unlocking use cases that were previously too costly or complex to develop. Your feedback and questions will be invaluable to us.

 👀 Please check out our technology at AgentQL.com
💬 Connect with our community on Discord and X.com

Thank you for being a part of our story!@shuhao_zhang 
Congratulations to the AgentQL team on their release! Great job - up and running in seconds🦾@shuhao_zhang Congrats on your launch day! Wishing you great success and new opportunities. What challenges did you overcome to get here?@shuhao_zhang @max_savonin1 
Hi, Max! I may be able to help with some of these questions-- they're really great questions, btw!

- How does AgentQL ensure the accuracy of its natural language parsing and element identification? How easy is it to maintain AgentQL queries when websites undergo significant changes?

We do regular benchmarking to ensure our results are the best for accuracy and reproducibility, trading off against other dimensions. We also iterate against a set of real-world use cases to further improve AgentQL. We've found that providing context for certain terms is critical for accuracy and stabilization of results. As for maintaining AgentQL queries as websites undergo changes, we've found that we're generally able to handle most cases (even testing against some historic / archived versions of websites where available) so long as the elements exist, but obviously, if the structure changes too significantly, e.g. the elements or data no longer exists or the steps of a workflow are completely shuffled, the query wouldn't be able to adapt to this.

- Can AgentQL integrate with existing web scraping or automation frameworks? Can it learn and improve its understanding of user intent over time?

We currently provide an extension to the Playwright Python SDK, and are able to extend Page objects directly to run queries, interact, or provide some other utility functions. Most other frameworks that are leveraging Playwright where you still have access to the underlying Page object should be compatible. As for learning and understanding user intent, AgentQL itself is not personalized and doesn't adapt to usage, but we've provided tools like the aforementioned context to help disambiguate results.

- What security measures are in place to prevent unintended automation behavior or data breaches?

We currently view ourselves as a tool to enable developers, as it's simply a product which helps interpret data and provide elements for programmable interaction on web. We're curious to see the ingenuity of the community and believe our technology can be used to unlock a lot of good use-cases, but we will definitely remain vigilant and remain open to changing our position on this as we grow!

Hope that helps, and definitely open to connecting to explore possible collaborations!@antonikozelski Thanks so much! We're excited to hear that the onboarding is smooth for you. Appreciate the support!@kjosephabraham Thanks a lot! We’re excited about the launch and appreciate your well wishes. One of the biggest challenges we faced was ensuring the accuracy and reliability of our natural language queries across a wide range of websites. It took a lot of iteration and fine-tuning to make sure AgentQL could handle the diversity of web structures out there while still being user-friendly. Overcoming those hurdles has been incredibly rewarding, and we're thrilled to finally share it with the world!only log in option is google ? I will wait then. I have email // apple //  github// google // but cannot use something that only is for google users ! Ping me when we can use other idsHey, Francoo!  We'll have github SSO out by EOD-- stay tuned!@francoolaami just rolled out GitHub sign-in option! Thanks for the feedback!@francoolaami Thank you for the feedback and we enjoy building AgentQL together with the community. Looking forward to hearing more from you!AgentQL is probably the easiest web data extraction tool that I have ever used. While it doesn't require all the back and forth editing to choose the right web elements, it still offers the ability to use code to process the data extracted !

Give it a try and you won't regret!Thanks for giving us a shot and the kind words!  We're really excited to see positive engagement from the community!Thank you for your support, Shawn!@shunxinpang Thanks for your shoutout and love to explore more towards the future of Agent with you!Congrats! It appears to be very similar to Semantic Targets invented by Open Agent Studio(open source) last year https://www.openagent.studio/ would you be able to improve semantic targets or is it essentially the same?Hi, Rohan!  The high level concept with Semantic Targets sounds similar, but I believe that our underlying approach to resolving query elements is quite different.  Though I myself have not tested Semantic Targets extensively, we've seen really good results on accuracy and reliable consistency across a broad range of real world use-cases using AgentQL.  We also choose to return the control flow back to the developer rather than trying to have an LLM reason about and generate the full end to end task, so that developers can be confident in actions taken, any validations, and graceful error handling across the workflow.@murkypan Thanks for the explanation yes open agent studio also has an Agent API that allows explicitly triggering events directly using json actions in English. I'd encourage you to try it out and see if you can improve it.@rohan_arun1 Thanks! Will look it up!

AgentQL

Waydev is a software engineering intelligence platform created for engineering leaders that leverages insights from the engineering stack to improve health, accelerate delivery, and enhance planning!Hey, Product Hunt!  And thanks to @mwseibel for hunting us!

I'm Alex, one of the founders of Waydev. Throughout our journey, we’ve encountered countless engineering teams striving to optimize their workflow, but often struggling to get clear, actionable insights from their pull requests. It’s not just about tracking the numbers—it’s about understanding the impact and making informed decisions to drive better outcomes. That's where we come in.

Over the last few months, we’ve been working closely with engineering leaders to identify the key challenges they face. While there are plenty of tools out there, we realized that none of them provided a comprehensive, intuitive view of pull request activity that truly empowers teams. So, we went back to the drawing board, rethinking how we could better serve this need. 

- 

This led us to an exciting discovery: providing clear, contextual insights directly within your development workflow could be a total game-changer. We reimagined our approach, and that’s how Waydev Pull Request Insights was born—a new feature designed to seamlessly integrate into your engineering processes and give you the clarity you need.

With that being said,

Introducing Waydev Pull Request Insights – the new feature to help you analyze, optimize, and understand your pull requests like never before. Get deep insights into your PRs, improve your review process, and ensure quality is always top-notch. But that's not all! You can leverage this feature for various purposes, including:

	• Measuring review quality and team collaboration
	• Understanding the impact of the Pull Requests 
	• Spotting risky PRs and bottlenecks
	• Making data-driven decisions to improve your workflow

We’ve put our heart and soul into building this feature, and we can’t wait for you to try it out.

 To celebrate the launch, we’re offering a 30-day free trial for any team with at least 20 engineers.

We’re excited to hear what you think and look forward to your feedback. 
Thanks for being part of our journey!Congrats on the launch!

Seems like a great way to easily identify bottlenecks. Will have to give it a try :)@casper_brix thank you so much!@casper_brix Thanks!Congrats for the launch @alex_circei @alexander_nitu @buzea_valentin @delia_adok This is a great addition to your core product. We have over 700 repositories on Creative Tim, and of course a lot of PRs. Can't wait to see how this will help our team. 🙏🏽🚀@alexander_nitu @buzea_valentin @delia_adok @axelut Looking forward to the feedback! ThanksI like how it tackles everything from measuring review quality to spotting risky PRs—definitely something that can improve team collaboration and workflow efficiency. 👩🏻‍💻

Congrats @alex_circei 👏🏻🚀@elisa_paduraru1 Thanks Thanks!

Waydev Pull Request Insights

Build your Dashboards with the flexibility of a canvas. Use code to create and maintain them, leveraging version control, reusability, and more.Hello! Maker here 👋

After intense positive responses from customers, we’re launching our Dashboards As Code on Product Hunt 🧨!

Dashboards aren’t dead. They just haven’t been done right.

If you’ve been in the data world long enough, it’s almost suspicious if you don’t hear “dashboards are dead” every three months. Ask ten data analysts, and you’ll likely hear a consensus: Dashboards are bad. They lack a lot of business context, rarely used, and often left to collect virtual cobwebs after fulfilling that one ad-hoc data request. They’re the data equivalent of home treadmills—we expect transformation, but they end up neglected.

Traditional dashboards do one thing well: display charts and numbers. But when we demand more—business context, storytelling, sense-making—they crumble. So, we declare “dashboards are dead.”

We believe that dashboards aren’t dead (nor will they ever be), they just haven’t been done right.

Introducing Dashboards As Code, to give analysts the freedom to design dashboards in a flexible, scalable way that provides the right presentation to the business stakeholders.

👉 Have complete control over the design and content of your dashboards with pixel-perfect design and customized themes

👉 Define dashboards using code. Govern them with Git version control.

👉 Treat dashboards as programmable objects, build reusable components and templates so you never have to build things from scratch again.

Our team has been around the clock on this in the past few months, and I hope you can help me give them the recognition they deserve:

a) Check out our playground: https://playground.holistics.io/...
b) Give us a thumbs up on Product Hunt
c) Tell us what you think about this 👇Love the flexibility of a canvas, infinite use cases, and certainly an amazing tool for product teams!!@sangbaodo 
Thanks, Sang. Feel free to try it out here https://playground.holistics.io/...Congratulations on the launch! This product seems extremely versatile and flexible to use! Looking forward to try it out.I tried Holistics a while back and planned to check them out again in my next gig. Their programming-inspired, as-code approach is really refreshing in the BI tool landscape where most vendors repeat the same things over and over again.

The development experience was great because I could use a static-typed markup language instead of messy YAML to build dashboards. Writing code lets me treat dashboards as programmable objects, so I can create reusable functions/variables, and easily produce widgets by passing those variables. And coding just gave me way more design options. 

Excited they're launching here and can't wait to see what they build next.

Dashboards As Code

The state-of-the-art blockchain data extraction and streaming platform is designed for seamless access to real-time and historical blockchain data. It's an efficient data pipeline ensuring data consistency, even during chain reorganizations with 100% delivery.

Project Zero

Your go-to scraper to get your data instead of captcha blockers. Get and scrape any data at scale.

MrScraper

LinkedIn scraper API designed for a singular purpose: Real-time data scraping of profile information and all company-related data. Without cookies, without limit.