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Markets
  • Signal Feed
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  • Live Launches
  • Breakout Momentum
  • Opportunity Radar
  • Categories
  • Founders
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11,067 products · 19,805 snapshots
Rixx

Rixx

The Perplexity alternative that organizes your research

Launched 2mo agoProduct Hunt Website
Votes
101
Comments
11

What this means

-34%Category cooling: Artificial Intelligence.
Launches down 34% week-over-week.
60%Strong buyer-intent signal in the comments.
60% of commenters sound like potential buyers — mostly researchers.
70%Comment sentiment overwhelmingly positive.
Audience strongly receptive — researchers engaged.
Users are asking for claim table + JS-rendered page support.
Feature requests surfaced from the comment thread.
Recurring concerns: trust in AI conclusions, source quality handling.
Pain points mentioned more than once in comments.

Prediction

Top-5 finish probability
27%
today
Projected end-of-day votes
101range 76–136
Trajectory
stable
Vote pace holding steady.

About

AI search engines lie. Rixx doesn't. Search the web and get answers backed by real citations so you can verify every claim, not just trust it. → See data visually with charts and graphs → See images inline with your results → Upload PDFs, docs, and links as context → Multimodal search: text, images, docs together → Organize research into Insights folders Stop guessing. Start knowing.

AI Summary

Rixx is an AI-powered search engine that provides answers with verified citations, enabling users to validate information. It supports multimodal search, allowing integration of text, images, and documents, and organizes research into Insights folders for improved productivity.

Vote & comment velocity

Scores

Velocity7.2
Vote pace vs avg
Momentum7.2
Sustained over 6h
Virality12.1
Spread × engagement
Engagement21.8
Comments per vote

Founders

hitendra singh choudhary
@hitendraa · hunter

Topics

Artificial IntelligenceSearchProductivity

Comment Intelligence· 4 comments analysed

Sentiment

Positive70%
Neutral20%
Negative10%
Buyer intent
60%
of commenters sound like potential buyers
Audience
researchers
Sentiment over 50 days
Positive
Negative
Buyer intent
Overall vibe

Overall, commenters express strong interest in Rixx's capabilities, with constructive feedback on features and trust in AI-generated content.

Top themes
  • cited answers
  • source quality
  • research workflow
Feature requests
  • claim table
  • JS-rendered page support
  • better search exhaustiveness
Complaints
  • trust in AI conclusions
  • source quality handling

Top comments

[REDACTED]
↑ 3

Hey PH! I built Rixx because AI search tools were giving confident answers that were just wrong. Rixx gives you cited answers from the live web every claim is traceable to a real source. You can also upload your own PDFs, docs and links, see data as charts, and organize everything into Insights. Would love brutal honest feedback what would make this your default search?

[REDACTED]
↑ 1

<p>How exhaustive is the search? Does it cap the number of web searches and pages visited, or does it go until it hits a goal of credibility? Also, can it handle JS-rendered pages, PDFs and Images? I ask because I've built my own internal method that does this but would love to not have to manage it and none of the stock research tools are cost-effective, including Parallel AI's Find All or Deep Research (let alone Perplexity or stock Claude)</p>

[REDACTED]
↑ 1

<p>The “from search to publishable research” promise is the interesting part. Citations are necessary, but for writing/research workflows the bigger trust question is usually claim shape: did the AI preserve what the source actually says, or did it turn a narrow source into a broad conclusion?</p><p></p><p>One feature I’d love is a claim table before publishing: claim, supporting sources, source strength, and any caveat/contradiction Rixx found. That would make the final blog/report feel less like a generated answer with links and more like research you can safely stand behind.</p>

[REDACTED]
↑ 1

<p>Congrats, Rixx feels useful if it can keep that whole chain together instead of creating another tab in the research mess. How do you handle source quality when generating cited answers?</p>

Sentiment computed via openai