161–170 of 214 posts
Here are two ideas for desktop apps that I think would be worthwhile: 1) A data copy app. I often need to copy data from one place to another (eg. copy data from MS Access to a MySQL server, export data from PostgreSQL to CSV, fetch data from some REST API and insert it into PostgreSQL). There tools for some of those jobs (eg. CSV import / export from PostgreSQL is solved). But there are a lot of jobs where I end up…
Here are two ideas for desktop apps that I think would be worthwhile: 1) A data copy app. I often need to copy data from one place to another (eg. copy data from MS Access to a MySQL server, export data from PostgreSQL to CSV, fetch data from some REST API and insert it into PostgreSQL). There tools for some of those jobs (eg. CSV import / export from PostgreSQL is solved). But there are a lot of jobs where I end up…
2) how about metabase?
Earlier quoted context omitted.
Stock/Forex predictions with multiple ML models where clients could choose which ones they would like to follow. Bonus $ for showing them the best performing model for their portfolio etc. With a simple PWA app and UI and some scalable AWS/lambda instances to handle the load and a couple of instances to keep training/predictions set going.
I feel like machine learning is to the stock exchange like regular expressions are to html: everyone who learns about the first will at some point think them to be useful for dealing with the latter.
There are forms of ML that have memory/stack, and I would think you have to use something more complex for the stock market than "recognizing patterns". For short term trading there are definitely useful pattern recognition systems that can effectively trade.
I send out a daily newsletter with short snippets of pain points in different industries - http://www.oppsdaily.com Here is archive of sorts - http://www.oppslist.com The ideas are of a mediocre quality, but I find they help stimulate thought. Another idea is to go to a place like Fiverr and look at which services are most widely bought. Then build a saas solving one of those problems.
Earlier quoted context omitted.
I think there is also a C) You might just be lucky when the other guys weren't. Sometimes, luck is as much a factor as hard work.
Also, there are tons of VC backed startups that "failed" because they couldn't squeeze enough profit out of their niche to pay for their exorbitant and lavish burn rate. A one-man, or very small team can find great profit where some of these bloated startups have failed.
Here are two ideas for desktop apps that I think would be worthwhile: 1) A data copy app. I often need to copy data from one place to another (eg. copy data from MS Access to a MySQL server, export data from PostgreSQL to CSV, fetch data from some REST API and insert it into PostgreSQL). There tools for some of those jobs (eg. CSV import / export from PostgreSQL is solved). But there are a lot of jobs where I end up…
I've often wishes Datagrip, Postico, Navicat, etc could draw charts / graphs. Just a handful of them would be plenty. Instead I end up exporting the data and using Google sheets.
Combining the regular DB client with some lite BI style visualization is the key, I think.
The world is full of people in your situation who's main area of interest and experience is primarily in software development or start-ups. Because of this, almost every good idea that touches your entire realm of experience been attempted 10 times. There's tons of competition even for really bad ideas - just look at how many start-ups in SF tried to offer "laundry as a service"! The secret is to go out and make frie…
>The secret is to go out and make friends who work in different industries that are totally unrelated to your experience. Great advice, my SO works outdoors doing field studies and the amount of shit they talk about doing manually is astounding. They pay people (or sometimes unpaid interns) to go through hours of videos documenting everything they see! Almost all cataloging and measurements are done with little to no…
Or in other, more specific words (and I have no affiliation with the product): Showing them how to use something like Airtable and setting up a simple template for them could change their world.
I send out a daily newsletter with short snippets of pain points in different industries - http://www.oppsdaily.com Here is archive of sorts - http://www.oppslist.com The ideas are of a mediocre quality, but I find they help stimulate thought. Another idea is to go to a place like Fiverr and look at which services are most widely bought. Then build a saas solving one of those problems.
Can you share any successful story regarding that service? That someone resolved problem and become rich?
I personally tried out an outsourced sales venture based on one request. I made around 1k in revenue the first month doing that. I found that my overhead was high and it was a competitive landscape to find clients.
At this point in time, I'm just playing the messenger. I'm not trying to get people rich. Although, I think in the future that may be a metric I start to measure myself by. Hope this helps :)
The world is full of people in your situation who's main area of interest and experience is primarily in software development or start-ups. Because of this, almost every good idea that touches your entire realm of experience been attempted 10 times. There's tons of competition even for really bad ideas - just look at how many start-ups in SF tried to offer "laundry as a service"! The secret is to go out and make frie…
The quickest way to build an impressive SaaS project in 2019: 1. Find a cool machine learning project with preferably pre-trained models so you don't have to do much cleaning/moving data. 2. Get those models doing inference on a server and expose it as an API. 3. ??? (marketing/sales/business stuff) 4. Profit
Examples: - Newswhip crawls news articles and uses the FB api to get share counts. Newsrooms use their data to find out what is trending
- SuperData crawls info from Twitch and YouTube to provide insights into the games that are engaging.
- Similarweb provides data into the traffic that websites are getting
- AppAnnie scrapes App rankings to provide insights into the growth and trends of apps.
- Ahrefs built a huge database of backlinks and provides insights into who is linking to your site or your competitors.