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888kicks never misses. Mesh quality feels great, sole details are on point.










888kicks never misses. Mesh quality feels great, sole details are on point.
We hit the row limits and started actually testing alternatives. Here's what we found:
Pure database replacements:
Bas͏erow - closest to Airt͏able, self-hostable, unlimited rows. Solid if databases are all you need.
Noc͏oDB - great if you already have Postg͏reSQL/My͏SQL and want a no-code UI on top.
Project management with DB features:
Cli͏ckUp - better project tracking, ~$7/user, but database views are more limited than Airtable.
Not͏ion - works well when knowledge management matters more than data operations at scale.
Mon͏day - good dashboards for managers, less flexible for complex data.
All-in-one consolidation:
Brid͏geApp - combines databases, chat, tasks and docs in one place. The angle for us was on-premise deployment (data residency requirements). AI agents that pull context across chats and databases simultaneously is genuinely different from Airtable's table-tied automations.
I’m curious whether anyone has replaced Airtable with a single tool, or just swapped out one component of the whole stack? It’s hard to move away from something you’re used to.
That vintage off-white + red combo hits different. The mesh and nike details are on point
Looking for a realtor in the Newark area who actually knows their stuff. I'm trying to sell my place and want someone who won't just slap it on the MLS and call it a day. Ideally, someone with a solid online presence and maybe experience with digital m͏arketing strategies for listings. Has anyone worked with a realtor here who really goes the extra mile with visibility and reaching potential buyers? Any recomme͏ndations would be helpful.
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I was looking up top 10 gamblin͏g sites uk for the worldcup and honestly every single list is just bet͏365, sky͏be͏t, willia͏m hill, over and over. yeah they're big names but their limits are trash, the apps lag like crazy, and the affordability checks are ridiculous, feels like applying for a loan just to bet ten quid on a horse. Does anyone actually use anything different? looking for sites with decent withdrawal speeds that don't make you feel like a criminal for wanting to gamble
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Caption:
Olive on deck. 🌿
This colorway is so underrated.
Timeless silhouette, perfect for every fit. What’s your take?
How's the leather quality, GL or RL?
These low-key luxury runners are my new obsession. No logos, just clean lines, premium materials, and that understated "old money" vibe.
if someone had shown me this post eight months ago i would have saved about 6 weeks of my life and probably my credibility with our VP of sales.
ok so context. i joined as the rev ops lead at a series A company last march. background is data analytics, not sales, which matters because my instinct when something breaks is to look at the data pipeline not the copy or the strategy. the SDR team was 4 people, they were sending through Inst͏antly across about 12 inboxes warmed up on Mail͏doso, and the whole enrichment flow ran through Cl͏ay into Sales͏force. on paper it looked fine. the sequences were written by someone who actually knew what they were doing, subject lines were tested, personalization was decent. but reply rates were sitting at like 0.4% across the board for almost two months straight.
everyone assumed it was the copy. the SDRs rewrote sequences three times. our head of sales brought in a consultant for $2,800 to audit the messaging. the consultant said the copy was "serviceable but could be tighter" and recommended a bunch of changes that... also didnt move the needle. we were burning through about $1,900/mo on tooling alone (Clay, Instantly, Maildoso, Never͏Bounce, plus a Sales Na͏vigator seat) and getting maybe 2-3 meetings a month total across the whole team. for a series A trying to hit pipeline targets that was borderline catastrophic.
by late may i finally started looking at the actual data instead of trusting the pipeline everyone told me was working. pulled a random sample of 200 contacts from our last 3 campaigns and started manually checking them against LinkedIn. this is where it gets embarrassing. roughly 35% of the contacts were either at the wrong company, had a stale title, or the email was just... not theirs. not bouncing, mind you. NeverBounce was passing them as valid. the emails existed, they just belonged to someone else or were generic aliases that got routed to a shared inbox somewhere. so our bounce rate looked fine at around 3.1% but we were emailing the wrong humans.
it took me almost three weeks to figure out where the data was breaking. the issue was upstream of everything. our enrichment step in Clay was pulling from a waterfall of sources and the priority order was wrong. it was grabbing the first email it found regardless of confidence score, and for a lot of contacts that meant catching an old work email from 2 years ago or a personal gmail that happened to be associated with their LinkedIn. the data looked clean on the surface because the emails were technically valid. they just werent the right ones.
once i actually understood the problem i rebuilt the enrichment flow over about two weeks in june. stripped out the waterfall approach and started running contact lists through Pro͏speo for the email finding step instead of relying on Clay's built in waterfall. the difference was immediate and kind of infuriating because it meant we'd been wasting months. email accuracy went from whatever mess we had before to around 83-84% verified correct contacts when i spot checked against LinkedIn, and our bounce rate dropped from 3.1% to about 1.4%.
the downstream effects showed up fast. by mid july reply rates climbed to 1.8% which still isnt amazing but compared to 0.4% it felt like a different universe. meetings went from 2-3/mo to about 9-11/mo. same copy. same SDRs. same Instantly setup. same inboxes. literally the only thing that changed was who we were emailing.
the part that still bugs me is how long it took to diagnose. i spent weeks looking at deliverability metrics, inbox placement, warmup scores, all of that. none of it pointed to the real problem because the real problem was data quality at the enrichment layer and it was invisible to every downstream metric. bounce rate said we were fine. spam scores said we were fine. the emails were landing in inboxes, they were just landing in the wrong inboxes.
our current flow is pretty simple now. Sales Navigator for building the initial list, Clay for firmographic enrichment and some basic filtering, Prospeo handles the email finding, NeverBounce for a final verification pass, then into Salesforce and Instantly picks up from there. total monthly spend is around $1,700 which is actually less than before because i dropped one of the Clay credit tiers we didnt need anymore and Prospeo runs us about $99/mo on the plan we're on. only real complaint with Prospeo is bulk processing can be a bit slow when we're pushing 2000+ contacts through at once, but its not a dealbreaker since we batch things weekly anyway.
the lesson i keep coming back to is that nobody on the team, including me for way too long, thought to question the contact data itself. we all assumed enrichment was a solved problem because the tools said the data was good. the tools were technically correct, the emails existed, they just didnt belong to the people we thought we were reaching. and that distinction doesnt show up in any dashboard i know of unless you go manually check.
anyway if your reply rates are terrible and youve already optimized copy and deliverability and warmup and all that... maybe go pull 50 contacts and actually look them up on LinkedIn. might save you a $2,800 consultant fee
Yeah, this is another platform reliability post. Hopefully the last one for a while.
I run an online-leaning coaching business, 70 active clients, ~$11k/mo revenue, most of it dependent on the platform staying up. This past week's True͏Coach outage cost me a weekend of putting out fires: clients texting because the app wasn't loading, two refund requests, and one client who told me he's going to "look around" before next month's payment.
TrueCoach isn't a bad product. The programming UI is genuinely one of the cleanest in this space and the client app is well-designed. But I can't have my entire client communication and program delivery rely on a platform with 12+ hours of downtime in a single week and no compensation clause in the TOS.
Question for the sub - what's the reliability track record on the actual alternatives? Not interested in feature comparisons, can read those anywhere. Interested in:
- Has your platform ever been down for more than 4 hours in the last 12 months?
- When something does break, how do they communicate it?
- Anyone moved off TrueCoach in the last 18 months. Was the new platform actually more reliable or were you just trading one set of problems for another?
Trying to make a real decision in the next two weeks. Migration cost on a 70-client roster is non-trivial so I want to get it right.
🔥 Nike SB Dunk Low "Street Hawker" print hits different. The details are insane. Thoughts?