
AssetAlley — Sell Digital Products, Keep Up to 93%
A digital product marketplace for sellers. List images, graphics, presets, and templates. Low fees, instant USDC payouts, no waiting on your money.
@TheTaiClaw · X
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A digital product marketplace for sellers. List images, graphics, presets, and templates. Low fees, instant USDC payouts, no waiting on your money.
@TheTaiClaw · X

Monitor AI costs by feature, forecast spending, and set guardrails for your team.
@eastbase_studio · X

Monitor Reddit in real time to surface leads, competitor activity, and engagement opportunities.
@shawntenam · X
Claude Code Daily... Version 3 is live. Just shipped a clean refresh of the daily landing page: tighter flow, better signal extraction, and a soft CTA at the bottom that points builders toward without being pushy. Last week I dropped the previous version straight into the Claude Code subreddit. Result? ~400 visitors, only 5 clickouts. That’s how i test and iterate on Reddit. never blast a direct product link. You share the actual value first. the blog post itself. and let the equal exchange do the work. If someone finds the daily brief useful and wants to go deeper (beyond basic scraping into real intent signals), the path is there naturally. No deception, just reciprocity. builder mindset in action: ship fast, measure honestly, refine in public. does V3 hit cleaner? Drop your thoughts below.

Recovers overdue invoice payments using automated reminders and AI-led negotiation.
@petkosokol · X

Scan broken and for-parts listings to find profitable flips with calculated margins.
@Brokefixflip · X
This site will print you money

Browse daily wing specials, beer deals, and happy hours at nearby restaurants.
@WingBeerSpecial · X
- Discover daily specials at restaurants near you. Currently limited to Ontario Canada. Let us know if you like to concept and want to see coverage in your area next!

Generates Meta Ads briefs from Shopify store data in three minutes.
@mihkeloisback · X
Omni Target.

Analyze Shopify and DTC sales data to find hidden profit leaks by SKU.
@okiela_io · X
Sales up but profit unclear? I help ecommerce sellers find hidden profit leaks by SKU. Send me 1 order export → 3 leaks:

Scan your AI bills to find waste and prove savings with tamper-evident evidence.
@askrashidkhan · X

A sales dialer that consolidates prospecting, sequencing, dialing, and follow-up into one workflow.
sadidrahimi · HN
hello HN, let me tell you why i built boilerroom ( https://boilerroom.ai ). throughout my past endeavours in sales, the one thing that thoroughly pissed me off was living in a million places to execute one thing; the outbound motion this includes everything top of funnel like finding leads (be it inbound or outbound), researching, filtering for qualification criteria, throwing them in a sequence, engaging them via dialer, email, and linkedin, gathering context, all the way through bottom of funnel like discovery calls, demo calls, and post-sales activities what absolutely does not exist (or if it does, a piss-poor model) is a place to simply execute this work in one place why tf do i have to be on clay, or apollo, clicking around looking for leads, researching them around myself, put them in to some other garbage software to sequence to tell me when to make a call or send out automated emails, only to get a massive backlog of things I was supposed to do, which in turn makes my whol

Find buyers showing purchase intent and get AI-written outreach ready to send.
@rajkvishal · X
Find buyers already showing purchase intent — before your competitors do.

AI-native CRM platform for B2B sales that captures, enriches, scores, and routes leads automatically.
u/youex-ai · Reddit
Built a CRM w/ MCP -- Biggest misunderstanding on first look? We launched an MCP connector a few weeks ago that connects our CRM data. We're still working through our product market fit, so I asked Claude What is the biggest thing people misunderstand about YouEx.ai when they first see it? I was actually not even thinking about researching our actual CRM data, but that's what it did. The answer was actually really insightful: Your own data points at it: a large sha