tullie

8 ms·

31.
by tullie 2y ago
Compared to Vespa, we're much easier to get setup on. A big part of this is that we have real-time and batch connectors to all leading CDPs and data warehouses. E.g. if you're on Amplitude it takes < 10mins to stream data direc
32.
by tullie 2y ago
The short answer is: we're better at recommendations and personalization and lean towards more technical teams (e.g. even with data/ML experience). They're better at traditional search and, these days, lean towards less techn
33.
by tullie 2y ago
We have a library with about 100 algorithms which you can choose from or by default we automatically choose based on your objective. Majority of them are open source models we've forked and improved. Just as an example, we integrated i
34.
by tullie 2y ago
Thank you! Would love to chat, we've had several customers come over from Algolia and they've seen significant uplift. I can share more if you want to message me at tullie@shaped.ai. Our pricing is competitive with Algolia's
35.
by tullie 2y ago
The build vs buy decision does come up, but like you mentioned, the product direction of Shaped is to be primitives for search and recommendation, allowing users that want to build use Shaped to empower them to build quicker (e.g. integrate
36.
by tullie 2y ago
Thanks for the first question! We run online A/B tests to objectively measure quality against our ranking algorithms and other baselines. As you mentioned it's crucial that the measure of quality for these tests chosen is fair and
37.
Launch HN: Shaped (YC W22) – AI-Powered Recommendations and Search
121 points by tullie 2y ago|32 comments
38.
Meta's Trillion Parameter Recommendation System(shaped.ai)
11 points by tullie 2y ago|0 comments
39.
Personalization in Marketplaces(shaped.ai)
1 points by tullie 3y ago|0 comments
40.
Improving Recommender Systems with LLMs(shaped.ai)
10 points by tullie 3y ago|0 comments
41.
LLMs – A Paradigm Shift in RecSys?(shaped.ai)
12 points by tullie 3y ago|0 comments
42.
MovieLens to Production in Minutes(shaped.ai)
1 points by tullie 4y ago|0 comments
43.
Shaped 1.0: The fastest way to personalize your product, platform or marketplace(shaped.ai)
1 points by tullie 4y ago|0 comments
44.
Breaking Down Toolformer(shaped.ai)
1 points by tullie 4y ago|0 comments
45.
Order Matters: Evaluating Your Recommendation System(shaped.ai)
2 points by tullie 4y ago|0 comments
46.
Sounding the Secrets of AudioLM(shaped.ai)
85 points by tullie 4y ago|19 comments
47.
Shaped is now SoC 2 Compliant(shaped.ai)
2 points by tullie 4y ago|0 comments
48.
Do Large Language Models (LLMs) Reason?(shaped.ai)
5 points by tullie 4y ago|1 comments
49.
How to evaluate recommendation algorithms(shaped.ai)
4 points by tullie 4y ago|0 comments
50.
Ranking: search, session and similar(shaped.ai)
5 points by tullie 4y ago|0 comments
51.
The Data Advantage in the Foundation Models Era(costanoavc.com)
1 points by tullie 4y ago|0 comments
52.
Musk's first email to Twitter staff(techcrunch.com)
3 points by tullie 4y ago|0 comments
53.
If you don't want to be late, enumerate(sciencedirect.com)
1 points by tullie 4y ago|0 comments
54.
Wordcraft, Google's magic text editor(theverge.com)
2 points by tullie 4y ago|0 comments
55.
Redesign of Swiss passport (now with maps inside)(twitter.com)
3 points by tullie 4y ago|0 comments
56.
A New Philosophy of Progress(bigthink.com)
4 points by tullie 4y ago|0 comments
57.
T5 for Personalized Recommendations(arxiv.org)
1 points by tullie 4y ago|0 comments
58.
by tullie 4y ago
Great to see OpenAI finally being open :)
59.
by tullie 4y ago
Love it! Wish I had this when practicing for our YC interviews
60.
by tullie 4y ago
Congrats to the team at Search.io! Looking forward to seeing what Algolia does with vector search.

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