iloveluce

Interesting. Given that OpenAI and Anthropic are steadily moving down the stack (e.g. remote execution, Codex desktop, Claude Code integrations), how do you think about defensibility? Do you expect the labs to eventually offer a cloud-native ADE themselves, and if so, what advantage do you think an independent platform retains?

Also, do you see Boxes supporting OpenCode and self-hosted/local models in the future? If the rented machines have enough RAM and GPU access, it seems like there could be an interesting path toward a model-agnostic platform rather than being tied to the frontier labs.

All those manufacturing woes that happened after Elon tried to automate everything in the manufacturing process https://www.cnbc.com/2018/04/13/elon-musk-admits-humans-are-...

The founder claims he has investments from Sequoia, Andreessen and Social Capital??!?!

This is from their Techcrunch https://techcrunch.com/2021/03/22/crypto-social-network-bitc...

I don't think this true which makes me think this is a scam

“At this point, the TuSimple trucks carrying packages for UPS still have an engineer and a safety driver riding along”

Seems like they’re as far along in the process as all the other companies

Hi HN,

I’m Luciano, the co-founder and CTO of ScopeAI (https://www.getscopeai.com/). We’ve built a product that helps teams track and prioritize bugs and feature requests being reported through user feedback.

Support, sales or marketing teams report countless bugs and feature requests they’re hearing them from users to product teams. But as a PM or engineer, you need context - you need to know who’s reaching out, what they’re saying and how many people are affected.

ScopeAI makes that easier by using NLP to find all the conversations related to a bug or feature request once it’s been added by someone on your team.

Congrats to Segment! We (ScopeAI) got a chance to work with Calvin and the team to build an integration. The processes couldn't have been clearer and the value add for our customer is huge!

For most of these products the api is relatively easy to use to pull conversational data.

Or use ScopeAI :) (Biased since I work there)

I agree so much that I built an entire company around it.

The insight and nuance that comes from reading support conversations is second to none but more importantly emphasizing with your user enables you to focus more on building intuitive products.

Also it seems like their reported NER is just serving up the spaCy NER.

“spacy_ner service which provides Spacy NER annotations.” [0]http://nlp_architect.nervanasys.com/service.html

Have a link to that video?

Here is the HN discussion to Part 1 https://news.ycombinator.com/item?id=16217241

Pretty surprised how much Equifax spent trying to win this case. I'm sure they're doing it to dissuade others from suing them as well but after reading this I really want to sue myself. I wonder if they'll appeal the verdict again.

We currently support Zendesk, Intercom, Freshdesk, Salesforce, Livechat, Front.

Yes we support email support threads!

Co-founder and CTO here, we had launched earlier on hacker news https://news.ycombinator.com/item?id=15286463.

Happy to answer any questions

ScopeAI (YC W17)| www.getscopeai.com | SF | NLP and Backend engineer| Full-time, Onsite

We analyze customer conversations using NLP to find insights that help businesses make better decisions.

For example, quantifying for a cruise ship company how many complaints are about a certain ship's bathroom sizes or how much praise they are getting about that new pool they installed said ship.

You would be joining a small, well-funded team; happy to share more in private. You will also have a ton of ownership and autonomy within the company!

NLP Engineer will ideally have 2+ years of experience with NLP

Backend Engineer ideally has some data science/statistics background.

Contact me directly at luciano+hn@getscopeai.com or go through https://angel.co/scopeai

You pulled through. Thanks :)

I'll bite your bait. Just made an account, my address is xrb_3zrgt5ocbm6u5xjy8xxy8q918bi5rg7eimu5suywjmgebnwnhy4d63bwohk3

Although this site doesn't seem all that secure

Brings to mind Will.i.am's startups pivot to enterprise voice controls[0] which they call Omega [1]

[0] https://www.cnbc.com/2017/11/06/will-i-ams-start-up-i-am-rai...

[1]https://iamplus.com/enterprise/

I hope NSA is doing the same with Russian Cyber Defense systems. This is what NSA should be focused on and not on turning its eavesdropping capabilities towards the homeland.

What if an adversary where to hack the NSA warehouses were all communications swept up by their eavesdropping efforts are stored?

Just downloaded and it's been super fast and beautiful so far, going to try it out for a week and see how it goes!

Generally homogeneity in language works better for the analysis (accuracy is higher) but we do capture tickets with some mixed languages. In this case, we mark the non-english word as an irrelevant entity instead of translating. Spanish support however is next on our roadmap of languages to support!

Yes we can automatically apply established tags to incoming support tickets and there is the option to delete and merge similar tags that ScopeAI generates and assigns to tickets as well!

That’s a great point!

We completely agree that anyone making product decisions should spend a considerable amount of time listening and seeking customer feedback but we see ScopeAI as a tool that can make that process more efficient and accurate. Using algorithms for mining trends can prevent product decisions from being made with biases like Recency Effect[0] for example.

We also think ScopeAI can customer feedback more transparent and accessible to people across the company - this becomes more and more of an issue as companies scale and ticket volumes becomes unmanageable for people to manually sift through. For example it’s a lot harder for a CEO to read all customer service tickets if they receive 100 an hour!

[0] https://en.wikipedia.org/wiki/Serial_position_effect

The higher the volume of tickets the more precise our insights can be but as a general rule 100 tickets are required to gauge trends in feedback. For some companies this is an hour of customer requests and for other companies this could take a week to accumulate.

We have a monthly subscription revenue model based on volume of tickets analyzed (different tiers for different ranges of ticket volume).

Thanks so much for catching that. It should be good now, here's the link for reference https://www.getscopeai.com/schedule_call

We currently don’t have iOS/Android app store integrations but they’re definitely on our roadmap! Many of our current customers already have their customer support channels all integrated, for example they integrate Zendesk with their Google app reviews so when we integrate with their main support channel i.e. Zendesk, we end up analyzing all of their customer conversations!

Great question! It’s similar in that we extract significant phrases and measure their frequency. Our differences:

• We combine similar significant phrases together. I.e. cancel subscription and end services would be clustered together.

• We track and display their distribution over time not just their total frequency. i.e. is it trending? Is the current downward trend significant?

• We ‘learn’ from each company the topics that interest them by both manually allowing them to subscribe to topics or mark them irrelevant as well as by automatically tracking click through rates and time spent.

As for the internal audience vs. external audience, we focus on the questions that are important to a product or operations team: how to reduce churn, feature requests, sentiment (what improves customer satisfaction) which is different from information valuable for consumers.

We (Quiki YC W17) are currently using Otter to make our entire contract/agreement process self service, and it's been great. I can answer any questions from a customer perspective.

A bit unrelated but the US Census should really work with the US Postal Service when performing the census. It would save the Census bureau some money and would provide the Postal Service with an additional source of funding.

Everyone really is piling up against Uber. I really hope this isn't some sort of Justice Department revenge against Travis for having left the Trump advisory council [0]

[0] https://www.nytimes.com/2017/02/02/technology/uber-ceo-travi...