I'm not really that impressed with their results. It's more like popularity based marketing channel(what's with all those videos ? ), because of the lack of good search and deep metadata. Heck many products don't even have a rich, textual description. It's almost like aggregating product reviews from relatively unbiased sources(unlike the cesspool that Amazon has become), and filtering by depth and building a decent search around them and a good community would work better. Than after all this, a video would be very useful.
Ah, and one more thing - try to filter out the bullshit apps, the ones without much value on product hunt. "A dating app where you can only date 1 guy"? and other stuff like that. Sorry but i have much better ways of wasting time.
But let's think about an ideal service. Such a service would have 2 forms:
1. It gathers in some form, all the "jobs" i need to do, and how well they are done today, and how much i pay for them - and than from time to time offers me concrete recommendations how to improve my life: "you could save $X each month , if you'll use this new money transfer startup". Or "you could use this recipe book, to save a lot of time and get similar level of food you're making now". etc.
Amazon does that to some extent, but it has still has some ways to go.
2. Another successful mechanism is create a RICH and DEEP tagging system for each product and search/browse through those tags - jinni.com once did it for movies - and it was a phenomenal movie discovery tool. Far better than anything we have today.
Of course, ideally such tool should also include a price comparison mechanism, and maybe "performance levels" per each relevant performance dimension, kinda like the one you get in digikey, the electronic component store, where you can select chips by speed, power,etc.
The question is, how to get there, and how close it's possible to get?
The main impediment to your goal, tbh, seems the quality of the data.
For #1, this pretty much requires human curation/submission to accurately gather the vendors for each process you might outsource.
For #2, Rich, quality tags that provide a near complete representation of feature sets requires human intervention or a substantial crawl with NLP+ranking algos on par with Google.
> Of course, ideally such tool should also include a price comparison mechanism, and maybe "performance levels" per each relevant performance dimension, kinda like the one you get in digikey, the electronic component store, where you can select chips by speed, power,etc.
> The question is, how to get there, and how close it's possible to get?
An AlternativeTo clone with a focus on tagging features/performance dimensions, having people rate those individual dimensions, and submit prices would likely work. The only problem is the incentive for people to:
A) Switch
B) Be that detailed.
C) Avoid it becoming a popularity contest like ProductHunt & AlternativeTo are at present.
I'm not really that impressed with their results. It's more like popularity based marketing channel(what's with all those videos ? ), because of the lack of good search and deep metadata. Heck many products don't even have a rich, textual description. It's almost like aggregating product reviews from relatively unbiased sources(unlike the cesspool that Amazon has become), and filtering by depth and building a decent search around them and a good community would work better. Than after all this, a video would be very useful.
Ah, and one more thing - try to filter out the bullshit apps, the ones without much value on product hunt. "A dating app where you can only date 1 guy"? and other stuff like that. Sorry but i have much better ways of wasting time.
But let's think about an ideal service. Such a service would have 2 forms:
1. It gathers in some form, all the "jobs" i need to do, and how well they are done today, and how much i pay for them - and than from time to time offers me concrete recommendations how to improve my life: "you could save $X each month , if you'll use this new money transfer startup". Or "you could use this recipe book, to save a lot of time and get similar level of food you're making now". etc.
Amazon does that to some extent, but it has still has some ways to go.
2. Another successful mechanism is create a RICH and DEEP tagging system for each product and search/browse through those tags - jinni.com once did it for movies - and it was a phenomenal movie discovery tool. Far better than anything we have today.
Of course, ideally such tool should also include a price comparison mechanism, and maybe "performance levels" per each relevant performance dimension, kinda like the one you get in digikey, the electronic component store, where you can select chips by speed, power,etc.
The question is, how to get there, and how close it's possible to get?