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0x63_Problems commented on Ask HN: Who is hiring? (January 2026)    · Posted by u/whoishiring
0x63_Problems · 2 months ago
Gauge | Founding Engineer | San Francisco, CA | ONSITE | Full-time

Gauge helps companies show up in more AI answers. Search traffic is shifting away from Google into AI chat, and companies are figuring out how to adapt right now. Our system delivers real-time analytics derived from millions of LLM answers, while providing an intuitive, powerful UX. We also generate optimized articles to improve our customers’ visibility, and offer an agentic chat interface over their data (think ‘Why was there a spike on 12/10?’ or ‘Which of my pages should I refresh?’).

I'm Evan, the CTO, and we're looking for engineers with strong programming fundamentals, creative problem solving skills, and a high-agency working style. You might be a good fit if you are an ex-founder, ex-founding engineer, or have worked at a Seed/Series A startup.

We primarily use Django, React, Postgres, Celery, and Clickhouse.

Contact me with your resume (and mention HN) if you're interested: evan[at]withgauge.com

More details/JD also here: https://www.ycombinator.com/companies/gauge/jobs/qemTjv7-fou...

0x63_Problems commented on Show HN: Comparing product rankings by OpenAI, Anthropic, and Perplexity   productrank.ai/... · Posted by u/the1024
crowcroft · a year ago
I'm building something similar. One area I see being a massive problem is separating 'brands' and 'products', especially with companies that do a really poor job of delineating between their different brands over time.

For example 'Quickbooks', 'Quickbooks Online', 'Intuit Quickbooks' all show up occasionally when you ask about 'Accounting software'.

As an aside 'Accounting Software', I'm not seeing QBO in the top 3, and Freshbooks in number one. I have never had that result whenever I've run reports.

https://productrank.ai/topic/accounting-softwarehttps://www.aibrandrank.com/reports/89

0x63_Problems · a year ago
Very cool!

Yup I definitely see confusion in our responses around the product and brand names. We do another pass through an LLM specifically aimed at ‘canonicalizing’ the names, but we’ll need to get more sophisticated to catch most issues.

In that case you mentioned, the brand confusion is what accounts for the top three omission for QBO. Both OpenAI and Perplexity rank it #1, but Anthropic ranks the slightly different “Quickbooks” product as #1. Our overall ranking prioritizes products that appear in all three responses, so both are dropped down.

0x63_Problems commented on Show HN: Comparing product rankings by OpenAI, Anthropic, and Perplexity   productrank.ai/... · Posted by u/the1024
xnx · a year ago
Why not Gemini?
0x63_Problems · a year ago
No specific reason, just started with these three, will add Gemini soon!
0x63_Problems commented on Show HN: Comparing product rankings by OpenAI, Anthropic, and Perplexity   productrank.ai/... · Posted by u/the1024
webscout · a year ago
Where do you get the list of products?
0x63_Problems · a year ago
It's from previous searches actually, we have an 'enrichment' step after the initial rankings come back which helps with semantic deduplication and tries to give us a canonical website domain. We store the Product and tag all matching rankings: https://productrank.ai/product/microsoft and use a 3rd party to map website <-> brand logo.
0x63_Problems commented on Show HN: Comparing product rankings by OpenAI, Anthropic, and Perplexity   productrank.ai/... · Posted by u/the1024
KuriousCat · a year ago
What is the model used by perplexity here?
0x63_Problems · a year ago
We are using sonar-pro
0x63_Problems commented on Show HN: Comparing product rankings by OpenAI, Anthropic, and Perplexity   productrank.ai/... · Posted by u/the1024
joshdavham · a year ago
I like this idea and think it’s really creative! But for feedback I’d like to see more clarity on what you mean by “rankings”.

For example, I searched “Ways to die” and got 1. Drowning 2. Firearms 3. Death during sleep

What exactly is the ranking criteria here? (Also, sorry for goofy edge case haha)

0x63_Problems · a year ago
These are structured results from explicitly asking the LLM for a ranking in the given category, and we provide guidance in the prompt telling the LLM to 'use best judgment' when the topic doesn't clearly include products.

Also we include the 'key features' from each answer - you can see this by clicking the cell containing the rank (e.g. '1st' in the Anthropic column)

In this case, Anthropic said of 'Death during sleep':

Anthropic Analysis for Death During Sleep

    Painless and unaware experience
    No anticipatory anxiety
    Common with certain cardiac conditions
    Often described as 'peaceful'
    No suffering

0x63_Problems commented on Show HN: Tach – Visualize and untangle your Python codebase   github.com/gauge-sh/tach... · Posted by u/the1024
mathfailure · a year ago
What do you mean by "a video that changes"?

I liked the video-example, it's way better than examples in many projects that use just text, when the tool does something quite complex that better be demonstrated in a video with a narrator explaining what's happening and why.

0x63_Problems · a year ago
I actually made that change in response to their comment! It used to be a live GIF with no narration.
0x63_Problems commented on Show HN: Tach – Visualize and untangle your Python codebase   github.com/gauge-sh/tach... · Posted by u/the1024
rubenvanwyk · a year ago
Does this work together with uv?
0x63_Problems · a year ago
Yes!

Here is an example project that is configured as if it were a uv workspace: https://github.com/gauge-sh/tach/tree/main/python/tests/exam...

In that project, `tach check-external` would handle between-workspace dependencies, while the core `modules` and `interfaces` config would handle within-workspace dependencies.

Soon these will be better unified, we kept the 1st-party/3rd-party distinction separate while we learned what the UX should be.

u/0x63_Problems

KarmaCake day298November 16, 2017
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