The difference is that 0.5% on the whole payment, might in some cases be actually much more than taxes on the profit.
Or even worse, if you sell for whatever reason without profit, the tansaction fee is your loss.
I would like to know where that 1% retail business is located. My family has a bunch of hardware/electricity retail businesses and the margins are way more than that. Like 30%-500%.
You mean subsidized wares that is priced for loss to lure masses to cheap shopping, while selling other stuff above the price? Like buying liquors like rum and whiskey in european supermarkets is almost guaranteed to give cca 2x the price of cheapest online sellers in same country. Thats age old tactic, you need to look at overall sums spent or prices across the offer
I've finalized and have in beta testing an AI-based natural language search of properties from an MLS feed. On top of that, I'm continually tuning an AI agent that is able to do property research, comparisons, neighborhood and history analysis, etc.
I’m building an AI search assistant and autonomous AI agent for real estate, powered by MLS property data via my tool mlsync.io [1].
It’s designed to go beyond static filters to actively research, compare listings, analyze photos, watch listings, setup notifications etc... - basically an "OpenClaw for real estate."
Earlier attempts were mostly about money and ideology. Now its a question of security, thanks to one 'clever' 'businessman'.
So thanks to his _great_ efforts, it might actually work out this time.
Interesting tool, will definitely try - just curious, is there a tool (hexora checker) that ensures that hexora itself and its dependencies are not compromised ?
And of course if there is one, I'll need another one for the hexora checker....
We work with MLS provider(s) that requires us to keep plaintext password for our users and provide it on request in case of `breach in the security of MLS Listing Information or a violation of MLS Rules`.
The user is accessing only copy of their data in _our_ systems, the user has no contact with MLS itself directly or indirectly.
I’m still working on MLSync.io, an ETL platform designed to remove the technical friction of synchronizing MLS data using RESO protocol and provide simple access to the MLS data via SQL and REST API.
And as everyone now, I'm experimenting with LLMs to bring some new AI-related features to the service.
On another project, we've now beta testing (in ordination) Asus GX10 processing power running on-device LLMs for _local_ processing of patient medical data for 'differential diagnoses, implant plans and risk profiles in real time while the patient is in still in the chair'.