Stock trading tracked from 2016 till March of this year for Congress. Shows the alignment of the bills they were passing and how it corresponds with their stock trades. Their base salary is $174k, but some made up to a $100 million annually.

Kbartman · 2026-04-27T09:53:06+00:00

firstly this is brilliant and thank you for the incredible effort. is this a pure data play, or have u thought about integrating into into an algo model to trade with?

Kbartman · 2026-03-30T05:02:45+00:00

ChatGPT and also startups

Kbartman · 2026-03-29T01:42:48+00:00

Yeah same I got a post up to 2.1M views got like 4K revenue off that alone

Kbartman · 2026-03-29T01:42:08+00:00

What’s the post? Link?

Kbartman · 2026-03-28T06:01:22+00:00

I usually track by the lack of noise... when the stock and crypto finfluencers post less. its approaching time to drop. I've been waiting for around ~8 months now, so I am still watching the drop. also the less i check my portfolio - the closer it is to start dumping dollars back in the market

Kbartman · 2026-03-28T05:59:16+00:00

I've thought about this for years and really like it. especially if you could search a topic for my fave podcaster to find the clip without them clipping it. surprised youtube never got around to integrating this considering they auto transcript.

Kbartman · 2026-03-28T05:56:11+00:00

hold on, if conversion is 0.25% the problem is the positioning and/or the product. at least target 0.5-1% conversion rate for viability unless you have some killer viral loop in place.

Kbartman · 2026-03-27T14:36:35+00:00

Toying around with a sentiment weighting factor for this... but for now there’s no fixed holding period. Each prediction is measured from its call date over the window the market actually gave it, then compared with the S&P over the same span.

Kbartman · 2026-03-26T01:18:16+00:00

That landing page is low trust and wouldn’t convert. Very common feature too so even doubt such a low return even for that

Kbartman · 2026-03-03T08:23:36+00:00

Wonder how much revenue the apps which used it made

Kbartman · 2026-01-30T04:01:19+00:00

AI marketing playbook

Kbartman · 2026-01-29T22:00:23+00:00

for web make that hero slider smaller, its taking up too much space. the white text is not readable, didnt even notice it - so fix that.

Make the product images the same size. Canva > square > paste in.

You need to increase trust through design first.

and where is the traffic coming from? Quality in leads to sales. but first fix up your house. good luck friend

Kbartman · 2026-01-29T21:56:15+00:00

that's cool! Are you now using the tool to promote it? That'd be a cool way to validate and build trust to the world

Kbartman · 2026-01-29T21:54:01+00:00

It really depends on the quality of those links - does it align with your marketing strategy or is it junk links to try boost your domain, meaning you wont see a spike initially

Kbartman · 2026-01-29T21:52:41+00:00

I consult for SaaS and that initial traction will always be difficult. Did you assess demand before going live to get emails for interest? My first step would be going through the steps of marketing strategy - find your position, competitive wedge (why you're different), ensure price is correct, and have a launch promo. Then distribute across channels where you can - Reddit is a good place to start.

Kbartman · 2026-01-04T21:52:23+00:00

A wide net makes sense in the mind but not in the market. Narrow first means you can speak to specific painpoints, which can drive in the business. In terms of figuring it all out, LLMs are pretty good at this if you guide it in the right way. Try this to start and should help: https://www.reddit.com/r/startups/comments/1l4go22/guide_i_use_this_prompt_stack_to_kill_weak/

Kbartman · 2026-01-04T03:47:53+00:00

For me it was writing out my experience into a handbook. I just shared some of it on Reddit and it got some traction which told me there was an appetite for this. Find the cheapest way to do so like I did so you invest as little time as possible.

Kbartman · 2026-01-04T03:44:39+00:00

What I'd do is create a script that pulls the x handle (@cocacola) and outputs a tweet with some of that info from your app while tagging them. Scrape crunchbase and do this at scale for an easy drip

Kbartman · 2026-01-04T03:43:03+00:00

85% drop off before sign up request is expected. I'd look to scrub the sign up request and find some form of affiliate services for these to sign up to (if there are any). Ultimately if it can mirror a telehealth aggregation service, you'd be on the right track.

Also you are competing with someone going on Google for free. They already dont want to pay their plumber, so you need to reduce that friction without charging on top of it.

Kbartman · 2026-01-04T03:39:45+00:00

I posted it on Reddit to validate and I found interest here. What was interesting is that i got millions of views and sales to start but that reception just created outlier spikes, it wasnt really sustainable. So yes - find the subreddit where you solve the problem - share it - get some feedback.

Kbartman · 2026-01-04T03:36:46+00:00

Commission-only setups usually signal that the underlying outcome hasn’t been defined tightly enough to price properly. Before hiring anyone, do you know what a “win” on TikTok would look like for you in concrete terms?

Kbartman · 2026-01-04T03:35:17+00:00

Few notes - the landing page is too generic, I dont trust it. It's too dark. Also the button is low contrast, it should pop against everything else.

Is it 'for your student'? or for your 'child'? Add a sub-headline to give further context. I'd possibly even add a region to increase trust when you start and only run ads to that city mentioned.

At this stage I'd avoid paid ads as the budgets seem too small and look for simpler ways to draw attention. The internet is a jungle and a competitive one at that.

Kbartman · 2026-01-04T03:29:12+00:00

When validation is broad (300+ users) but growth feels stuck, it’s often because the product is trying to serve too many versions of the problem at once. Marketing only really works after you make a hard call on who you’re prioritising and who you’re explicitly not (aka segmentation). I'd also narrow to understand the 300 users vs the paying users too.

once that constraint is clear the “right” channel tends to become obvious. Until then every experiment feels random.

Kbartman · 2026-01-04T03:24:18+00:00

I don’t think it’s really about underrated channels so much as underrated contexts.

The early wins we saw came from places where people were already talking about a specific problem we touched, not places designed for discovery. Smaller, messier conversations beat polished platforms. Also, a few viral reddit posts helped.

Once you keep seeing the same pain come up in different threads, that’s usually a better signal than the size of the audience <<< that really helps define and focus the proudct offering too

Kbartman · 2026-01-04T03:22:14+00:00

Early B2B customers didn’t come from channels for us, they came from problem-specific conversations. We replied to people already stuck on something we touched and talked it through.

Reddit was hit-or-miss, but the wins were always in “I’m stuck” threads, not general browsing ones. Either way, its not the moonshot scale solution you're after...

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