Rubber Ducky Labs (YC W23) Profile
Rubber Ducky Labs (YC W23)

@RubberDuckyLabs

Followers
191
Following
43
Media
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Statuses
17

AI Powered Product Discovery

San Francisco, CA
Joined January 2022
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@Orrick
Orrick
1 year
Orrick’s Laura Barr connected with @alexandraj777, the CEO and Co-Founder of Y Combinator-backed @RubberDuckyLabs, for an inspiring conversation about deploying AI to improve recommender systems. Watch the video to learn more.
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@RubberDuckyLabs
Rubber Ducky Labs (YC W23)
1 year
Quack quack!!
@johnvmcdonnell
John McDonnell
1 year
New post on @RubberDuckyLabs: @alexandraj777 and I have heard a lot of horror stories of ML and senior leaders completely talking past each other when it comes to metrics. To optimize on CLTV, stop trying to iterate on CLTV! Use tactical goals instead.
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@johnvmcdonnell
John McDonnell
1 year
What makes some RecSys teams operate so much more effectively than others? It's all about unblocking the fast iteration loop.
@alexandraj777
Alexandra Johnson
1 year
To paraphrase Russian author Leo Tolstoy: All happy RecSys teams are alike; all unhappy RecSys teams are unhappy in their own way. Many struggle with common pitfalls: slow iteration, poor instrumentation, and unclear success metrics. https://t.co/RokR5orQJj
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@BlumLenore
Lenore Blum
2 years
The incredible @Alexandraj777 CEO of @RubberDuckyLabs back at @SCSatCMU @CarnegieMellon for her 10th reunion during Spring Carnival visiting Women@SCS students in front of my old office in Gates! None of the undergrads here were born when I started Women@SCS 25 years ago!
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@RubberDuckyLabs
Rubber Ducky Labs (YC W23)
2 years
Quack!!
@slaterstich
Slater Stich
2 years
Dialing in from @RubberDuckyLabs 's UK launch (OK, this last one is real: https://t.co/peTIENLeK4)
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@allisonbraley
Allison Braley 🦊
2 years
Speaking of funding news, it was a delight to work on this project with the team at @RubberDuckyLabs! Recommender systems govern many experiences we have online -- shopping, content, etc. Helping companies build and measure them is a huge opportunity. @slaterstich
@RubberDuckyLabs
Rubber Ducky Labs (YC W23)
2 years
We're so excited to announce our $1.5M seed round, led by @BainCapVC w/ participation from @CadenzaVentures + @ycombinator + our incredible angels 😇🎉 Reach out if your team is building recommender systems -- we'd love to talk! https://t.co/XjEeN7YfgV
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@wimlds
Women+ in ML/DS
2 years
We love to support founders from #wimlds! 💪 🙌 @alexandraj777 ran the @WiMLDS_BayArea chapter for nearly 6 years before stepping back to work on new projects, such as co-founding a #MachineLearning startup, @RubberDuckyLabs.
@ledell
Erin LeDell - ledell.bsky.social
2 years
Congrats @alexandraj777 and Georgia Hong!! 👏 Anyone building recommender systems should check this out. #recsys
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@ycombinator
Y Combinator
2 years
Congrats to the team @RubberDuckyLabs on the $1.5M round! Rubber Ducky Labs (YC W23) builds tools to debug, analyze, and improve recommender systems, allowing ML teams to move faster on projects that have a direct impact on the company’s bottom line. https://t.co/EB80GiHBbD
Tweet card summary image
techcrunch.com
Rubber Ducky Labs, a San Francisco–based startup, is looking to make it easier for teams to debug, analyze and improve their recommendation systems. 
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@slaterstich
Slater Stich
2 years
Thrilled to be working with Alexandra and Georgia at @RubberDuckyLabs. Every rec sys team I know ends up spending a ton of time hand-building the same suite of monitoring and debugging tools. Excited to see...
@RubberDuckyLabs
Rubber Ducky Labs (YC W23)
2 years
We're so excited to announce our $1.5M seed round, led by @BainCapVC w/ participation from @CadenzaVentures + @ycombinator + our incredible angels 😇🎉 Reach out if your team is building recommender systems -- we'd love to talk! https://t.co/XjEeN7YfgV
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@OrrickTech
Orrick Tech
2 years
Big congrats to @RubberDuckyLabs on closing its $1.5M seed round, led by @BainCapVC
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@RubberDuckyLabs
Rubber Ducky Labs (YC W23)
2 years
We're so excited to announce our $1.5M seed round, led by @BainCapVC w/ participation from @CadenzaVentures + @ycombinator + our incredible angels 😇🎉 Reach out if your team is building recommender systems -- we'd love to talk! https://t.co/XjEeN7YfgV
Tweet card summary image
techcrunch.com
Rubber Ducky Labs, a San Francisco–based startup, is looking to make it easier for teams to debug, analyze and improve their recommendation systems. 
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@RubberDuckyLabs
Rubber Ducky Labs (YC W23)
2 years
Quack!
@AIconference
The AI Conference
2 years
We're excited to announce that Alexandra Johnson @alexandraj777 Founder of @RubberDuckyLabs is speaking at The AI Conference: 2023 in San Francisco. https://t.co/0D55CSZ8wR
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@RubberDuckyLabs
Rubber Ducky Labs (YC W23)
3 years
Quack quack!!
@alexandraj777
Alexandra Johnson
3 years
Happy international women’s day!!!✨ This year is extra special for me professionally: I started @ycombinator W23 as one of 3 female solo founded startups (out of almost 250 companies!) and a few weeks ago Georgia joined @RubberDuckyLabs as CTO 🥰☺️
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@RubberDuckyLabs
Rubber Ducky Labs (YC W23)
3 years
Quack quack
@ycombinator
Y Combinator
3 years
Welcome to YC, @alexandraj777, Georgia, and @RubberDuckyLabs! Rubber Ducky Labs helps e-commerce companies avoid tone-deaf product recs — like featuring ski jackets in June. It works by combining ML + human expertise to recommend the best products. https://t.co/j1xbXHK01k
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@ycombinator
Y Combinator
3 years
Welcome to YC, @alexandraj777, Georgia, and @RubberDuckyLabs! Rubber Ducky Labs helps e-commerce companies avoid tone-deaf product recs — like featuring ski jackets in June. It works by combining ML + human expertise to recommend the best products. https://t.co/j1xbXHK01k
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@RubberDuckyLabs
Rubber Ducky Labs (YC W23)
3 years
Stop recommending ski jackets in June! Rubber Ducky Labs (@ycombinator W23) builds better recommender systems with ML + human expertise, and it's bring-your-own-model. 🙏 Looking to meet other folks working on recommender systems - intros appreciated! https://t.co/iKGCxITeKH
ycombinator.com
Rubber Ducky Labs builds better recommender systems with machine learning plus human expertise
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