Supermonitor API

Supermonitor API

Toxic-Language Detection Model built with machine learning

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Supermonitor helps companies identify and flag harmful language. We help you save time and worry by automating the monitoring of your website against harmful language in user-generated content including community forums and product reviews.
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Launch tags:Developer Tools•Artificial Intelligence
Launch Team
AssemblyAI
AssemblyAI
Build voice AI apps with a single API
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What do you think? …

PJ
Maker
Hello! I recognized that many startups face the challenge of dealing with unsavory user-generated content (comments, reviews). While focusing on their core business, these startups may not have the capacity (time, expertise) to address this issue. I wanted to make a positive contribution by providing a tool to automatically recognize and flag toxic content.
Daniel Mathews
Podyssey Podcasts
@pjama smart idea. I think we've talked about building this internally for our community.
Aidan Hornsby
Layercode
Love this @pjama. Looks like a neat solution to a huge (and growing) problem for all kinds of businesses.
PJ
Maker
Thanks, @aidanhornsby !
Melody Ma
This makes soooo much sense @pjama
PJ
Maker
Thanks @melody_ma , much appreciated!
Derek Pym
This sounds really helpful for small teams that don’t have the bandwidth to keep up with the commentary online. Keen to see more.
PJ
Maker
Totally agree, @derek_pym1 - I'll keep you posted!
Deverraux Jones
Is this product scalable enough for a chat app with potentially 1000+ requests per minute?
PJ
Maker
Great question, @devx101 - Yes, the backend service distributes requests across multiple instances that scales up based on utilization / load.
Ryan Angilly
Influence Co
This is rad. Any insight into whether or not you're getting the Product Hunt hug'o'death right now? I'm trying to sign up to fund account and it's hanging. Really excited to get in and try this out!
Jeff LaPorte
Radar Widgets for Github
@angilly Hey Ryan - I run Sellbit, the monetization platform Supermonitor uses to accept funding - I'll DM you on Twiter to help you through this issue
R N
A very much needed product - thanks for developing. I can see a use case for medical clinics to apply this tech to screen for toxic reviews.
PJ
Maker
Great example, @r_n . I'll look into that, thanks!