The Exchanges

Every argument clarity score on this site is built from rows on this page. Each question and answer was assessed with names hidden, the host's own answers included, on four things from 1 to 5: directness (does it answer the question asked), coherence (do the ideas follow), precision (concrete details and clear references), compression (says a lot per word). The weighted mix (30/30/25/15) is the exchange score. A person's published score averages their exchange scores on raw tape only, at least 8 of them, shrunk toward the cohort mean. Full method →

Marco Hojan no published score: no usable exchanges on raw tape, and a fair score needs 8+ record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

clear all ✕
1exchanges match
0on raw tape
0redirected or not addressed
Answered produced feed D 5 · C 4 · P 4 · Cm 4 4.30

Q Um, what's next on the product roadmap? What are you guys going to build next?

A So we're mostly focused on the SaaS part. So this LSP part is built. So it's actually a very much automated platform where you can order any, any type of translation. But this part is not so scalable as the SAS part, but it is very necessary for the SAS part to have more fuel. So now we have the catapult, a tool where anyone can translate by themselves using the power of machine translation, keeping the formatting intact and so on. Uh, next, we're going to continue with building empty products, so we see the future in machine translation. Machine translation is going to go everywhere, but not as a, we want to, to, um, offer it as a professional service, which means, for example, if you use Google Translate today, you have to copy-paste, formatting's not intact, if you need additional services, you don't get, and so on. So machine translation for advanced users, and then we have tons of Tons of, um, opportunities within the integration part because this problem is not solved. There is a big pain. There is no standard when it comes to translating software, web pages, and so on, and we want to become the standard. So, which means we want to be one platform that solves the translation problem.

AI assessment note: “next, we're going to continue with building empty products, so we see the future”

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